publications: - title: "Hierarchically Structured Bounding Boxes as an Aid for Cartography and Photogrammetry" author: - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani" - name: "Vania V Estrela" link: "http://academic.research.microsoft.com/Author/3361386" - name: "M. H. S. Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2010" abstract: "A 2D edge analysis scheme has been formulated based on (i) the wavelet transform; (ii) a data structure/object model named HSOBB with multi-resolution support; and (iii) multiple scale significance testing. It quickly isolates contour pieces that may belong to areas under risk. In real time applications, where the test for boundary changes is made in each time step, this is very important for studying the evolution of geotechnical phenomena and handling smooth curves as well as polygonal approximations. HSOBB introduces some noise filtering as well. It is a good option to more classical procedures, since it is able of dealing with a wide range of practical problems. Edges or abrupt jumps in contours may be enhanced by the use of different types of wavelet transform. Additional performance enhancements can be accomplished if noise is not assumed to be Gaussian, since commonly used detectors may have other types of noise ([12], [14], [15]), and may be subject to nonlinear distortions. An algorithm to detect exact interference for general and polygonal models was introduced. It pre-computes a hierarchical model representation using tight fitting OBB trees. At runtime, it goes across two such trees and tries to find overlaps among OBBs based on the separating axis theorem. In particular, it can robustly and accurately detect contacts between large complex geometries. " tags: - "object-role modeling" - "data-flow analysis" researchr: "https://researchr.org/publication/da-Silva-Bassani.-Estrela2010" cites: 15 citedby: 1 booktitle: "Hierarchically Structured Bounding Boxes as an Aid for Cartography and Photogrammetry" kind: "proceedings" key: "da-Silva-Bassani.-Estrela2010" - title: "State-of-the Art Motion Estimation in the Context of 3D TV" author: - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/57137696/the-prevalence-of-headache-among-elderly-in-a-low-income-area-of-s-o-paulo-brazil" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" year: "2012" doi: "10.4018/978-1-4666-2660-7.ch006" abstract: "Progress in image sensors and computation power has fueled studies to improve acquisition, processing, and analysis of 3D streams along with 3D scenes/objects reconstruction. The role of motion compensation/motion estimation (MCME) in 3D TV from end-to-end user is investigated in this chapter. Motion vectors (MVs) are closely related to the concept of disparities, and they can help improving dynamic scene acquisition, content creation, 2D to 3D conversion, compression coding, decompression/decoding, scene rendering, error concealment, virtual/augmented reality handling, intelligent content retrieval, and displaying. Although there are different 3D shape extraction methods, this chapter focuses mostly on shape-from-motion (SfM) techniques due to their relevance to 3D TV. SfM extraction can restore 3D shape information from a single camera data." links: tags: - "3D imaging" - "Inverse problems" - "motion compensation" - "image processing" - "Computer vision" - "Motion estimation" - "Error concealment" - "3D TV" - "multimedia" - "video analysis" - "stream processing" researchr: "https://researchr.org/publication/estrela2012state" cites: 109 citedby: 5 howpublished: "Paper and online" kind: "misc" key: "estrela2012state" - title: "Regularized Pel-Recursive Motion Estimation Using Generalized Cross-Validation and Spatial Adaptation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Luís Antonio Rivera" link: "http://academic.research.microsoft.com/Author/1161431/luis-a-rivera" - name: "Paulo Cesar Beggio" link: "http://lattes.cnpq.br/8170237658770465" - name: "Ricardo Tadeu Lopes" link: "http://academic.research.microsoft.com/Author/4751306/ricardo-tadeu-lopes" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Ricardo Tadeu Lopes" link: "http://academic.research.microsoft.com/Author/4751306/ricardo-tadeu-lopes" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" year: "2003" doi: "http://csdl.computer.org/comp/proceedings/sibgrapi/2003/2032/00/20320331abs.htm" abstract: "The computation of 2-D optical flow by means of regularized pel-recursive algorithms raises a host of issues, which include the treatment of outliers, motion discontinuities and occlusion among other problems. We propose a new approach which allows us to deal with these issues within a common framework. Our approach is based on the use of a technique called Generalized Cross-Validation to estimate the best regularization scheme for a given pixel. In our model, the regularization parameter is a matrix whose entries can account for diverse sources of error. The estimation of the motion vectors takes into consideration local properties of the image following a spatially adaptive approach where each moving pixel is supposed to have its own regularization matrix. Preliminary experiments indicate that this approach provides robust estimates of the optical flow." links: doi: "http://csdl.computer.org/comp/proceedings/sibgrapi/2003/2032/00/20320331abs.htm" tags: - " spatial adaptation" - " image motion estimation " - "2D optical flow " - "source-to-source" - "C++" - " generalized cross-validation technique " - " occlusion " - " regularization matrix " - " regularized pel-recursive algorithms " - "systematic-approach" researchr: "https://researchr.org/publication/EstrelaRBL03" cites: 10 citedby: 5 pages: "331-338" booktitle: "16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 12-15 October 2003, Sao Carlos, Brazil" publisher: "IEEE Computer Society" isbn: "0-7695-2032-4" kind: "inproceedings" key: "EstrelaRBL03" - title: "Estimating motion with principal component regression strategies" author: - name: "Felipe Pereira do Carmo" link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" year: "2009" doi: "10.1109/MMSP.2009.5293264" abstract: "In this paper, two simple principal component regression methods for estimating the optical flow between frames of video sequences according to a pel-recursive manner are introduced. These are easy alternatives to dealing with mixtures of motion vectors in addition to the lack of prior information on spatial-temporal statistics (although they are supposed to be normal in a local sense). The 2D motion vector estimation approaches take into consideration simple image properties and are used to harmonize regularized least square estimates. Their main advantage is that no knowledge of the noise distribution is necessary, although there is a underlying assumption of localized smoothness. Preliminary experiments indicate that this approach provides robust estimates of the optical flow." researchr: "https://researchr.org/publication/CarmoEstrela2009" cites: 0 citedby: 3 booktitle: "Estimating motion with principal component regression strategies" organization: "IEEE" publisher: "IEEE" kind: "proceedings" key: "CarmoEstrela2009" - title: "Spatially-Adaptive Regularized Pel-Recursive Motion Estimation based on Cross-Validation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Nikolas P. Galatsanos" link: "http://academic.research.microsoft.com/Author/750594/nikolas-p-galatsanos" - name: "Nikolas P. Galatsanos" link: "http://academic.research.microsoft.com/Author/750594/nikolas-p-galatsanos" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "1998" doi: "10.1109/ICIP.1998.723347" abstract: "Pel-recursive motion estimation is a well established method for finding the displacement vector-field (DVF) between adjacent image frames. The motion due to the optical flow in image sequences is estimated recursively. In this paper, we improve the Wiener-based pel-recursive algorithm by using spatially-adaptive regularization. The outcome of the regularized solution is dependent upon the value of the regularization parameter. This work employs a data-driven approach called generalized cross-validation (GCV) to determine the optimal value of the regularization parameter for each pixel. Experimental results are presented and the linear minimum mean-squared (LMMSE) solution (also known as the Wiener solution) is compared to the proposed approach" tags: - "data validation" - "rule-based" researchr: "https://researchr.org/publication/EstrelaG98" cites: 13 citedby: 8 pages: "200-203" booktitle: "ICIP (2)" kind: "inproceedings" key: "EstrelaG98" - title: "Regularized Pel-Recursive Motion Estimation Using Generalized Cross-Validation and Spatial Adaptation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Luís Antonio Rivera" link: "http://academic.research.microsoft.com/Author/1161431/luis-a-rivera" - name: "Paulo Cesar Beggio" link: "http://lattes.cnpq.br/8170237658770465" - name: "Ricardo Tadeu Lopes" link: "http://academic.research.microsoft.com/Author/4751306/ricardo-tadeu-lopes" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Ricardo Tadeu Lopes" link: "http://academic.research.microsoft.com/Author/4751306/ricardo-tadeu-lopes" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" year: "2003" doi: "http://csdl.computer.org/comp/proceedings/sibgrapi/2003/2032/00/20320331abs.htm" abstract: "The computation of 2-D optical flow by means of regularized pel-recursive algorithms raises a host of issues, which include the treatment of outliers, motion discontinuities and occlusion among other problems. We propose a new approach which allows us to deal with these issues within a common framework. Our approach is based on the use of a technique called Generalized Cross-Validation to estimate the best regularization scheme for a given pixel. In our model, the regularization parameter is a matrix whose entries can account for diverse sources of error. The estimation of the motion vectors takes into consideration local properties of the image following a spatially adaptive approach where each moving pixel is supposed to have its own regularization matrix. Preliminary experiments indicate that this approach provides robust estimates of the optical flow." links: doi: "http://csdl.computer.org/comp/proceedings/sibgrapi/2003/2032/00/20320331abs.htm" tags: - " spatial adaptation" - " image motion estimation " - "2D optical flow " - "source-to-source" - "C++" - " generalized cross-validation technique " - " occlusion " - " regularization matrix " - " regularized pel-recursive algorithms " - "systematic-approach" researchr: "https://researchr.org/publication/EstrelaRBL03" cites: 10 citedby: 5 pages: "331-338" booktitle: "16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 12-15 October 2003, Sao Carlos, Brazil" publisher: "IEEE Computer Society" isbn: "0-7695-2032-4" kind: "inproceedings" key: "EstrelaRBL03" - title: "Arquitetura para Visão por Computador" author: - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Osamu Saotome" link: "http://academic.research.microsoft.com/Author/3476641/osamu-saotome?query=osamu%20saotome" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" year: "1991" researchr: "https://researchr.org/publication/vania1991arquitetura" cites: 0 citedby: 0 booktitle: "Anais do Terceiro Simposio Brasileiro de Arquitetura de Computadores e Processamento Paralelo" organization: "SBC" kind: "inproceedings" key: "vania1991arquitetura" - title: "Error concealment by means of motion refinement and regularized bregman divergence" author: - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Felipe Pereira do Carmo" link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Vânia Vieira Estrela" link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2012" abstract: "This work addresses the problem of error concealment in video transmission systems over noisy channels employing Bregman divergences along with regularization. Error concealment intends to improve the effects of disturbances at the reception due to bit-errors or cell loss in packet networks. Bregman regularization gives accurate answers after just some iterations with fast convergence, better accuracy and stability. This technique has an adaptive nature: the regularization functional is updated according to Bregman functions that change from iteration to iteration according to the nature of the neighborhood under study at iteration n. Numerical experiments show that high-quality regularization parameter estimates can be obtained. The convergence is sped up while turning the regularization parameter estimation less empiric, and more automatic." links: published: "https://researchr.org/publication/citeulike%3A11098377" researchr: "https://researchr.org/publication/preprint-citeulike%3A11098377" cites: 0 citedby: 0 type: "Preprint" kind: "techreport" key: "preprint-citeulike:11098377" - title: "PROCESSAMENTO DE IMAGENS ESTEREOSCOPICAS PARA USO EM GEOTECNIA" author: - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Ivan de Araújo Medina" link: "http://www.eng.uerj.br/prof/8" - name: "Joaquim Teixeira de Assis" link: "http://lattes.cnpq.br/7307238902576135" - name: "Marcus P. Pacheco" link: "http://academic.research.microsoft.com/Author/51419672/marcus-p-pacheco" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" year: "2006" researchr: "https://researchr.org/publication/fernandes2006processamento" cites: 0 citedby: 1 journal: "Proceedings of IX EMC" number: "http://www.emc2006.iprj.uerj.br/GEP/IX$\\backslash$\\%20EMC-2006" kind: "article" key: "fernandes2006processamento" - title: "Estimating motion with principal component regression strategies" author: - name: "Felipe Pereira do Carmo" link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" year: "2009" doi: "10.1109/MMSP.2009.5293264" abstract: "In this paper, two simple principal component regression methods for estimating the optical flow between frames of video sequences according to a pel-recursive manner are introduced. These are easy alternatives to dealing with mixtures of motion vectors in addition to the lack of prior information on spatial-temporal statistics (although they are supposed to be normal in a local sense). The 2D motion vector estimation approaches take into consideration simple image properties and are used to harmonize regularized least square estimates. Their main advantage is that no knowledge of the noise distribution is necessary, although there is a underlying assumption of localized smoothness. Preliminary experiments indicate that this approach provides robust estimates of the optical flow." researchr: "https://researchr.org/publication/CarmoEstrela2009" cites: 0 citedby: 3 booktitle: "Estimating motion with principal component regression strategies" organization: "IEEE" publisher: "IEEE" kind: "proceedings" key: "CarmoEstrela2009" - title: "Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Luís Antonio Rivera" link: "http://academic.research.microsoft.com/Author/1161431/luis-a-rivera" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Vânia Vieira Estrela" link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Luis Antonio Rivera" link: "http://academic.research.microsoft.com/Author/19802137/luis-a-river" - name: "Luis Antonio Rivera Escriba" link: "http://lattes.cnpq.br/6277334830315068" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2004" abstract: "Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, motion vectors are estimated in an iterative fashion by means of the Expectation-Maximization (EM) algorithm and a Gaussian data model. Our proposed algorithm also utilizes the local image properties of the scene to improve the motion vector estimates following a spatially adaptive approach. Numerical experiments are presented that demonstrate the merits of our methods." researchr: "https://researchr.org/publication/EstrelaRB04" cites: 9 citedby: 0 pages: "47-54" booktitle: "WSCG (Posters)" kind: "inproceedings" key: "EstrelaRB04" - title: "Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Luís Antonio Rivera" link: "http://academic.research.microsoft.com/Author/1161431/luis-a-rivera" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Vânia Vieira Estrela" link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Luis Antonio Rivera" link: "http://academic.research.microsoft.com/Author/19802137/luis-a-river" - name: "Luis Antonio Rivera Escriba" link: "http://lattes.cnpq.br/6277334830315068" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2004" abstract: "Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, motion vectors are estimated in an iterative fashion by means of the Expectation-Maximization (EM) algorithm and a Gaussian data model. Our proposed algorithm also utilizes the local image properties of the scene to improve the motion vector estimates following a spatially adaptive approach. Numerical experiments are presented that demonstrate the merits of our methods." researchr: "https://researchr.org/publication/EstrelaRB04" cites: 9 citedby: 0 pages: "47-54" booktitle: "WSCG (Posters)" kind: "inproceedings" key: "EstrelaRB04" - title: "HYPERSPECTRAL ANALYSIS OF REMOTELY SENSED IMAGES " author: - name: "F. D. S. Alves" link: "http://academic.research.microsoft.com/Author/50888332/fernando-da-silva-alves" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Leni Joaquim Matos" link: "http://academic.research.microsoft.com/Author/50050162/luis-matos" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Fernanda Demetrio Silva Alves" link: "http://academic.research.microsoft.com/Author/50888332/fernando-da-silva-alves" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2011" abstract: "Currently, adequate and reliable water supply is indispensable for the entire planet. Abrupt changes in regular water distribution - such as shortage or inundation - may be catastrophic. To circumvent issues regarding overload and scarcity of water, huge sums of capital have to be invested and knowledge from several areas like hydrology and civil engineering can be applied to manage and allocate water. Since near ¾ of the Earth corresponds to oceans, water scarcity results from poor temporal and spatial water allocation as well as unsatisfactory quality to fulfill local needs. This makes water a restrictive factor for the progress of agriculture and industries. Existing information on water control systems is almost always insufficient leading to some critical situations. These unsatisfactory effects could have been evaded if enough hydrologic, geologic and climatologic data for planning had been readily available. This text aims at showing the relevance of remote sensing (RS) and Geographical Information Systems (GIS) techniques when it comes to acquire hydrologic data and to support operational as well as managerial hydrology. This work shows how image processing can be applied to help hydrology" links: "url": "http://books.google.com.br/books?hl=pt-BR\\&\\#38;lr=\\&\\#38;id=RV-SeH7ilP4C\\&\\#38;oi=fnd\\&\\#38;pg=PA398\\&\\#38;dq=\\%22vania+vieira+estrela\\%22\\&\\#38;ots=rqYtLvTQ1o\\&\\#38;sig=4korIoC4wc1S1byBqBHAdPfkckc" tags: - "control systems" - "data-flow analysis" researchr: "https://researchr.org/publication/da2011hyperspectral" cites: 21 citedby: 4 booktitle: "Sustainable Water Management in the Tropics and Subtropics and Case Studies in Brazil" publisher: "University of Kassel" isbn: "9788563337214" chapter: "HYPERSPECTRAL ANALYSIS OF REMOTELY SENSED IMAGES" kind: "inbook" key: "da2011hyperspectral" - title: "MOTION ESTIMATION BY MEANS OF PRINCIPAL REGRESSION" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Alfredo Nazareno Pereira Boente" link: "http://academic.research.microsoft.com/Author/56850234/anp-boente" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Fernanda Demetrio da Silva Alves" link: "http://academic.research.microsoft.com/Author/50888332/fernando-da-silva-alves" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" researchr: "https://researchr.org/publication/estrelamotion" cites: 0 citedby: 0 kind: "article" key: "estrelamotion" - title: "Methodology for Optimization of Polymer Blends Composition" author: - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Gil de Carvalho" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=P84906" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" year: "2012" doi: "10.5772/2693" abstract: "The research of polymer blends, or alloys, has experienced enormous growth in size and sophistication in terms of its scientific base, technology and commercial development (Paul & Bucknall, 2000). As a consequence two very important issues arise: the increased availability of new materials and the need for materials with better performance. Polymer blends are polymer systems originated from the physical mixture of two or more polymers and/or copolymers, without a high degree of chemical reactions between them. To be considered a blend, the compounds should have a concentration above 2% in mass of the second component (Hage & Pessan, 2001; Ihm & White, 1996). However, the commercial viability of new polymers has begun to become increasingly difficult, due to several factors. The advantages of polymer blends lie in the ability to combine existing polymers into new compositions obtaining in this way, materials with specific properties. This strategy allows for savings in research and development of new materials with equivalent properties, as well as versatility, simplicity, relatively low cost (Koning et al., 1998) and faster development time of new materials (Silva, 2011). Rossini (2005) mentions that economically and environmentally, a very viable alternative is to replace the recycling of pure polymers by mixtures of discarded materials. Mechanical recycling causes the breakdown of polymer chains, which impairs the properties of polymers. This degradation is directly proportional to the number of cycles of recycling. Therefore, the blend of two or more discarded polymers can be a realistic alternative, since it can result in materials with very interesting properties, at a low cost. Besides its inexpensiveness, this choice is also a smart solution to the reutilization of garbage. Postconsumption package disposal always occurs in a disorderly manner and without regard for the environment. The recycling process becomes increasingly more important and necessary to remediate environmental impact. According Pang et al. (2000) apud Marconcini & Ruvolo Filho (2006) polyolefins such as high density polyethylene (HDPE), low density polyethylene (LDPE) and polypropylene (PP) and polyesters such as poly (ethylene terephthalate) (PET) are classes of thermoplastics that have been widely used in packaging and constitute a large part of post-consumer waste. The recycling of these materials and their mechanical characterization anticipating the possibility of a new cycle of life in the form of new products is challenging, although technologically and environmentally correct (Marconcini & Ruvolo Filho, 2006). The polymer blends can be obtained basically in two ways (Rossini, 2005):  By dissolving the polymers in a good solvent, common to them, and subsequently letting the solvent evaporate; and  In a mixer where the working temperature is high enough to melt or mollify the polymeric components, without causing degradation of the same. According to Wessler (2007), the polymer blends may be miscible or immiscible. The miscibility is the most important property to be analyzed in a blend, given that all other system properties depend on the number of phases, their morphology and adhesion between them. The miscibility term is directly related to the solubility, i.e., a blend is miscible when the polymers dissolve in each other mutually (Silva, 2011). The immiscible between the various engineering polymers is a limiting factor for its production. Thus, it is necessary to use compatibilization agents for their production. Computational modeling has become increasingly popular. The main objective of models is to assist process optimization with minimal investment of time and resources for experimental work. Most techniques are classified into two main groups: physical models and statistical models as shown by Malinov & Sha (2003). Statistical methods are chosen according to research objectives. There are several multivariate analysis methods for purposes quite different from each other. The desired value and quality of one or more product characteristics can be obtained via experiment analysis and DOE. These methods help determining optimal settings and controllable factors of a process such as: temperature, pressure, amount of reagents, operating time, etc.. When compared to the method of trial and error, DOE also allows a reduction of the number of required tests, and savings in time, labor and money. An important application of DOE is the optimization of experimental formulations as, for example, the composition of mixtures. The formulation development is a fundamental part of the food industry, chemicals, plastics, rubber, paints, medicines, and the like. In materials science, it is important to understand the correlation between material processing, microstructure and properties that enable the optimization of process parameters and compositions of materials to achieve the desired combination of properties, according Malinov & Sha (2003). The problem presented here is to determine the fraction of each polymer blend component, and to determine the agent or, in some cases, an agents system, when it is necessary to use more than one compatibilizing agent. Thus, this text studies the effect of factors, for example, amount of polypropylene, additive type, and amount of additive in the composition of polymer blends, i.e., the optimal polymer blends formulation using factorial design." links: "url": "http://www.intechopen.com/books/principal-component-analysis-engineering-applications/methodology-for-optimization-of-polymer-blends-composition" tags: - "control systems" - "design science" - "rule-based" - "Recycling" - "operating system" - "Environmental Engineering " - "composition" - "design research" - "testing" - "type system" - "model-driven development" - "model-driven engineering" - "Engineering Design for Environment" - "Meta-Environment" - "process modeling" - "Sustainability" researchr: "https://researchr.org/publication/coelho2012methodology" cites: 32 citedby: 1 kind: "misc" key: "coelho2012methodology" - title: "UMA METODOLOGIA PARA APOIO A REALIZACAO DO PROCESSO DE DESCOBERTA DE CONHECIMENTO EM BASES DE DADOS" author: - name: "Alfredo Nazareno Pereira Boente" link: "http://academic.research.microsoft.com/Author/56850234/anp-boente" - name: "Ronaldo Ribeiro Goldschmidt" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?metodo=apresentar&id=K4723309Z6" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2005" abstract: "A complexidade inerente ao processo de KDD – descoberta de conhecimento em bases de dados – decorre diretamente da enorme diversidade de alternativas de ação a serem seguidas que surgem ao longo do processo. Costuma ser impossível experimentar todas as alternativas de algoritmos e parametrizações. Em geral, para que os técnicos se orientem durante o processo, é necessária a adoção de metodologias que norteiem as ações. No entanto, além de serem poucas as metodologias com esse propósito, em geral não existem mecanismos computacionais que auxiliem o processo de aplicação das metodologias. Assim sendo, o presente artigo tem como objetivo descrever a modelagem de um sistema de informação que viabilize a aplicação da metodologia para realização de KDD proposta. O sistema, já desenvolvido, vem sendo utilizado com sucesso como apoio ao processo de ensino de KDD em disciplinas oferecidas pelos autores tanto em nível de graduação quanto em nível de pós-graduação. Para modelagem foram utilizados recursos da linguagem de modelagem unificada UML. Os modelos de casos de uso e de classes do sistema foram detalhados e comentados. Conclusões e alternativas de melhorias futuras na ferramenta também foram fornecidas. " tags: - "data mining" - "C++" - "KDD" researchr: "https://researchr.org/publication/boentemetodologia" cites: 11 citedby: 0 kind: "article" key: "boentemetodologia" - title: "A Study on the Effect of Regularization Matrices in Motion Estimation" author: - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" year: "2012" doi: "10.5120/8151-1886" abstract: "Inverse problems are very frequent in computer vision and machine learning applications. Since noteworthy hints can be obtained from motion data, it is important to seek more robust models. The advantages of using a more general regularization matrix such as ?=diag{?1,…,?K} to robustify motion estimation instead of a single parameter ? (?=?I) are investigated and formally stated in this paper, for the optical flow problem. Intuitively, this regularization scheme makes sense, but it is not common to encounter high-quality explanations from the engineering point of view. The study is further confirmed by experimental results and compared to the nonregularized Wiener filter approach. " tags: - "machine learning" - "meta-model" - "regularization" - "Inverse problems" - "data-flow" - "image processing" - "Computer vision" - "model-driven engineering" - "Motion estimation" - " principal component regression" researchr: "https://researchr.org/publication/coelho2012study" cites: 17 citedby: 5 journal: "International Journal of Computer Applications" volume: "51" number: "19" pages: "17-24" kind: "article" key: "coelho2012study" - title: "Blind signal separation and identification of mixtures of images" author: - name: "Felipe Pereira do Carmo" link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo" - name: "Joaquim Teixeira de Assis" link: "http://lattes.cnpq.br/7307238902576135" - name: "Vania Vieira Estrela" link: "http://www.linkedin.com/profile/view?id=101025443&trk=h-gnav-name-link-0" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Joaquim Teixeira Assis" link: "http://academic.research.microsoft.com/Author/35574429/joaquim-teixeira-de-assis" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" year: "2009" month: "nov" doi: "10.1109/ACSSC.2009.5470083" abstract: "In this paper, a novel technique for blind signal separation based on a combination of second order and higher order approaches is introduced. The problem of blind signal separation was solved in a wavelet domain. The main idea behind this approach is that the mixing signal can be decomposed into a sum of uncorrelated and/or independent sub-bands using the wavelet transform. In the beginning, the observed signal is prewhitened in the time domain then, the initial separation matrix will be estimated from second order statistics decorrelation method in the wavelet domain. The estimating matrix will be used as an initial separating matrix in the higher order statistics method in order to estimate the final separation matrix. The algorithm was tested using natural images. Extensive experiments have confirmed that the use of the proposed procedure provides promising results in separating the image from noisy mixtures of images." links: "url": "http://dx.doi.org/10.1109/ACSSC.2009.5470083" tags: - "rule-based" - "testing" - "systematic-approach" researchr: "https://researchr.org/publication/citeulike%3A7598576" cites: 24 citedby: 0 pages: "337-342" booktitle: "2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers" address: "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5470083" publisher: "IEEE" isbn: "978-1-4244-5825-7" kind: "inproceedings" key: "citeulike:7598576" - title: "Data-Driven Motion Estimation with Spatial Adaptation more" author: - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" researchr: "https://researchr.org/publication/estreladata" cites: 0 citedby: 0 journal: "International Journal of Image Processing" kind: "article" key: "estreladata" - title: "State-of-the Art Motion Estimation in the Context of 3D TV" author: - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/57137696/the-prevalence-of-headache-among-elderly-in-a-low-income-area-of-s-o-paulo-brazil" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" year: "2012" doi: "10.4018/978-1-4666-2660-7.ch006" abstract: "Progress in image sensors and computation power has fueled studies to improve acquisition, processing, and analysis of 3D streams along with 3D scenes/objects reconstruction. The role of motion compensation/motion estimation (MCME) in 3D TV from end-to-end user is investigated in this chapter. Motion vectors (MVs) are closely related to the concept of disparities, and they can help improving dynamic scene acquisition, content creation, 2D to 3D conversion, compression coding, decompression/decoding, scene rendering, error concealment, virtual/augmented reality handling, intelligent content retrieval, and displaying. Although there are different 3D shape extraction methods, this chapter focuses mostly on shape-from-motion (SfM) techniques due to their relevance to 3D TV. SfM extraction can restore 3D shape information from a single camera data." links: tags: - "3D imaging" - "Inverse problems" - "motion compensation" - "image processing" - "Computer vision" - "Motion estimation" - "Error concealment" - "3D TV" - "multimedia" - "video analysis" - "stream processing" researchr: "https://researchr.org/publication/estrela2012state" cites: 109 citedby: 5 howpublished: "Paper and online" kind: "misc" key: "estrela2012state" - title: "Error concealment by means of motion refinement and regularized bregman divergence" author: - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Felipe Pereira do Carmo" link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Vânia Vieira Estrela" link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2012" doi: "10.1007/978-3-642-32639-4_78" abstract: "This work addresses the problem of error concealment in video transmission systems over noisy channels employing Bregman divergences along with regularization. Error concealment intends to improve the effects of disturbances at the reception due to bit-errors or cell loss in packet networks. Bregman regularization gives accurate answers after just some iterations with fast convergence, better accuracy and stability. This technique has an adaptive nature: the regularization functional is updated according to Bregman functions that change from iteration to iteration according to the nature of the neighborhood under study at iteration n. Numerical experiments show that high-quality regularization parameter estimates can be obtained. The convergence is sped up while turning the regularization parameter estimation less empiric, and more automatic." links: technicalreport: "https://researchr.org/publication/preprint-citeulike%3A11098377" "url": "http://dx.doi.org/10.1007/978-3-642-32639-4\\_78" tags: - "empirical" - "optical flow" - "regularization" - "refinement" - "monitoring" - "clustering" - "Inverse problems" - "image processing" - "Computer vision" - "Motion estimation" - "surveillance" - " motion detection" - "Error concealment" - "Bregman distance" researchr: "https://researchr.org/publication/citeulike%3A11098377" cites: 16 citedby: 4 pages: "650-657" booktitle: "Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning" volume: "7435" series: "IDEAL'12" address: "Berlin, Heidelberg" publisher: "Springer-Verlag" isbn: "978-3-642-32638-7" kind: "inproceedings" key: "citeulike:11098377" - title: "Oriented Bounding Boxes Using Multiresolution Contours for Fast Interference Detection of Arbitrary Geometric Objects" author: - name: "Luís Antonio Rivera" link: "http://academic.research.microsoft.com/Author/1161431/luis-a-rivera" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Paulo Cezar P. Carvalho" link: "http://academic.research.microsoft.com/Author/264069/paulo-cezar-pinto-carvalho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Luis Antonio Rivera" link: "http://academic.research.microsoft.com/Author/19802137/luis-a-river" year: "2004" abstract: "Interference detection of arbitrary geometric objects is not a trivial task due to the heavy computational load imposed by implementation issues. The hierarchically structured bounding boxes help us to quickly isolate the contour of segments in interference. In this paper, a new approach is introduced to treat the interference detection problem involving the representation of arbitrary shaped objects. Our proposed method relies upon searching for the best possible way to represent contours by means of hierarchically structured rectangular oriented bounding boxes. This technique handles 2D objects boundaries defined by closed B-spline curves with roughness details. Each oriented box is adapted and fitted to the segments of the contour using second order statistical indicators from some elements of the segments of the object contour in a multiresolution framework. Our method is efficient and robust when it comes to 2D animations in real time. It can deal with smooth curves and polygonal approximations as well results are present to illustrate the performance of the new method." tags: - "Interference Detection" - " Collision Detection" - "C++" - "Computação gráfica" - " Oriented Box" - "Oriented bounding box" - " Multiresolution Representation" - "systematic-approach" - " Bounding Box" researchr: "https://researchr.org/publication/RiveraEC04" cites: 0 citedby: 5 pages: "219" booktitle: "WSCG (Short Papers)" kind: "inproceedings" key: "RiveraEC04" - title: "HYPERSPECTRAL ANALYSIS OF REMOTELY SENSED IMAGES " author: - name: "F. D. S. Alves" link: "http://academic.research.microsoft.com/Author/50888332/fernando-da-silva-alves" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Leni Joaquim Matos" link: "http://academic.research.microsoft.com/Author/50050162/luis-matos" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Fernanda Demetrio Silva Alves" link: "http://academic.research.microsoft.com/Author/50888332/fernando-da-silva-alves" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2011" abstract: "Currently, adequate and reliable water supply is indispensable for the entire planet. Abrupt changes in regular water distribution - such as shortage or inundation - may be catastrophic. To circumvent issues regarding overload and scarcity of water, huge sums of capital have to be invested and knowledge from several areas like hydrology and civil engineering can be applied to manage and allocate water. Since near ¾ of the Earth corresponds to oceans, water scarcity results from poor temporal and spatial water allocation as well as unsatisfactory quality to fulfill local needs. This makes water a restrictive factor for the progress of agriculture and industries. Existing information on water control systems is almost always insufficient leading to some critical situations. These unsatisfactory effects could have been evaded if enough hydrologic, geologic and climatologic data for planning had been readily available. This text aims at showing the relevance of remote sensing (RS) and Geographical Information Systems (GIS) techniques when it comes to acquire hydrologic data and to support operational as well as managerial hydrology. This work shows how image processing can be applied to help hydrology" links: "url": "http://books.google.com.br/books?hl=pt-BR\\&\\#38;lr=\\&\\#38;id=RV-SeH7ilP4C\\&\\#38;oi=fnd\\&\\#38;pg=PA398\\&\\#38;dq=\\%22vania+vieira+estrela\\%22\\&\\#38;ots=rqYtLvTQ1o\\&\\#38;sig=4korIoC4wc1S1byBqBHAdPfkckc" tags: - "control systems" - "data-flow analysis" researchr: "https://researchr.org/publication/da2011hyperspectral" cites: 21 citedby: 4 booktitle: "Sustainable Water Management in the Tropics and Subtropics and Case Studies in Brazil" publisher: "University of Kassel" isbn: "9788563337214" chapter: "HYPERSPECTRAL ANALYSIS OF REMOTELY SENSED IMAGES" kind: "inbook" key: "da2011hyperspectral" - title: "Prevalence and indirect costs of headache in a Brazilian company" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/57137696/the-prevalence-of-headache-among-elderly-in-a-low-income-area-of-s-o-paulo-brazil" - name: "A. D. E. J. RODRIGUES" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "G. V. D. OLIVEIRA" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "K. F. D. E. SOUZA" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "Leni Joaquim de Matos" link: "http://lattes.cnpq.br/5441208494229169" - name: "M. B. D. E. L. ROCHA" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "Mario A. D. A. C. SAPORTA" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "R. B. ORLEANS" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "R. KOTECKI" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania V Estrela" link: "http://academic.research.microsoft.com/Author/3361386" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "1998" doi: "10.1590/S0004-282X1998000500006" researchr: "https://researchr.org/publication/vincent1998prevalence" cites: 0 citedby: 0 journal: "Arquivos de Neuro-Psiquiatria" volume: "56" number: "4" pages: "734-743" kind: "article" key: "vincent1998prevalence" - title: "Spatially-Adaptive Regularized Pel-Recursive Motion Estimation based on Cross-Validation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Nikolas P. Galatsanos" link: "http://academic.research.microsoft.com/Author/750594/nikolas-p-galatsanos" - name: "Nikolas P. Galatsanos" link: "http://academic.research.microsoft.com/Author/750594/nikolas-p-galatsanos" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "1998" doi: "10.1109/ICIP.1998.723347" abstract: "Pel-recursive motion estimation is a well established method for finding the displacement vector-field (DVF) between adjacent image frames. The motion due to the optical flow in image sequences is estimated recursively. In this paper, we improve the Wiener-based pel-recursive algorithm by using spatially-adaptive regularization. The outcome of the regularized solution is dependent upon the value of the regularization parameter. This work employs a data-driven approach called generalized cross-validation (GCV) to determine the optimal value of the regularization parameter for each pixel. Experimental results are presented and the linear minimum mean-squared (LMMSE) solution (also known as the Wiener solution) is compared to the proposed approach" tags: - "data validation" - "rule-based" researchr: "https://researchr.org/publication/EstrelaG98" cites: 13 citedby: 8 pages: "200-203" booktitle: "ICIP (2)" kind: "inproceedings" key: "EstrelaG98" - title: "Blind signal separation and identification of mixtures of images" author: - name: "Felipe Pereira do Carmo" link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo" - name: "Joaquim Teixeira de Assis" link: "http://lattes.cnpq.br/7307238902576135" - name: "Vania Vieira Estrela" link: "http://www.linkedin.com/profile/view?id=101025443&trk=h-gnav-name-link-0" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Joaquim Teixeira Assis" link: "http://academic.research.microsoft.com/Author/35574429/joaquim-teixeira-de-assis" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" year: "2009" month: "nov" doi: "10.1109/ACSSC.2009.5470083" abstract: "In this paper, a novel technique for blind signal separation based on a combination of second order and higher order approaches is introduced. The problem of blind signal separation was solved in a wavelet domain. The main idea behind this approach is that the mixing signal can be decomposed into a sum of uncorrelated and/or independent sub-bands using the wavelet transform. In the beginning, the observed signal is prewhitened in the time domain then, the initial separation matrix will be estimated from second order statistics decorrelation method in the wavelet domain. The estimating matrix will be used as an initial separating matrix in the higher order statistics method in order to estimate the final separation matrix. The algorithm was tested using natural images. Extensive experiments have confirmed that the use of the proposed procedure provides promising results in separating the image from noisy mixtures of images." links: "url": "http://dx.doi.org/10.1109/ACSSC.2009.5470083" tags: - "rule-based" - "testing" - "systematic-approach" researchr: "https://researchr.org/publication/citeulike%3A7598576" cites: 24 citedby: 0 pages: "337-342" booktitle: "2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers" address: "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5470083" publisher: "IEEE" isbn: "978-1-4244-5825-7" kind: "inproceedings" key: "citeulike:7598576" - title: "Oriented Bounding Boxes Using Multiresolution Contours for Fast Interference Detection of Arbitrary Geometric Objects" author: - name: "Luís Antonio Rivera" link: "http://academic.research.microsoft.com/Author/1161431/luis-a-rivera" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Paulo Cezar P. Carvalho" link: "http://academic.research.microsoft.com/Author/264069/paulo-cezar-pinto-carvalho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Luis Antonio Rivera" link: "http://academic.research.microsoft.com/Author/19802137/luis-a-river" year: "2004" abstract: "Interference detection of arbitrary geometric objects is not a trivial task due to the heavy computational load imposed by implementation issues. The hierarchically structured bounding boxes help us to quickly isolate the contour of segments in interference. In this paper, a new approach is introduced to treat the interference detection problem involving the representation of arbitrary shaped objects. Our proposed method relies upon searching for the best possible way to represent contours by means of hierarchically structured rectangular oriented bounding boxes. This technique handles 2D objects boundaries defined by closed B-spline curves with roughness details. Each oriented box is adapted and fitted to the segments of the contour using second order statistical indicators from some elements of the segments of the object contour in a multiresolution framework. Our method is efficient and robust when it comes to 2D animations in real time. It can deal with smooth curves and polygonal approximations as well results are present to illustrate the performance of the new method." tags: - "Interference Detection" - " Collision Detection" - "C++" - "Computação gráfica" - " Oriented Box" - "Oriented bounding box" - " Multiresolution Representation" - "systematic-approach" - " Bounding Box" researchr: "https://researchr.org/publication/RiveraEC04" cites: 0 citedby: 5 pages: "219" booktitle: "WSCG (Short Papers)" kind: "inproceedings" key: "RiveraEC04" - title: "Error concealment by means of motion refinement and regularized bregman divergence" author: - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Felipe Pereira do Carmo" link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Vânia Vieira Estrela" link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2012" doi: "10.1007/978-3-642-32639-4_78" abstract: "This work addresses the problem of error concealment in video transmission systems over noisy channels employing Bregman divergences along with regularization. Error concealment intends to improve the effects of disturbances at the reception due to bit-errors or cell loss in packet networks. Bregman regularization gives accurate answers after just some iterations with fast convergence, better accuracy and stability. This technique has an adaptive nature: the regularization functional is updated according to Bregman functions that change from iteration to iteration according to the nature of the neighborhood under study at iteration n. Numerical experiments show that high-quality regularization parameter estimates can be obtained. The convergence is sped up while turning the regularization parameter estimation less empiric, and more automatic." links: technicalreport: "https://researchr.org/publication/preprint-citeulike%3A11098377" "url": "http://dx.doi.org/10.1007/978-3-642-32639-4\\_78" tags: - "empirical" - "optical flow" - "regularization" - "refinement" - "monitoring" - "clustering" - "Inverse problems" - "image processing" - "Computer vision" - "Motion estimation" - "surveillance" - " motion detection" - "Error concealment" - "Bregman distance" researchr: "https://researchr.org/publication/citeulike%3A11098377" cites: 16 citedby: 4 pages: "650-657" booktitle: "Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning" volume: "7435" series: "IDEAL'12" address: "Berlin, Heidelberg" publisher: "Springer-Verlag" isbn: "978-3-642-32638-7" kind: "inproceedings" key: "citeulike:11098377" - title: "Estimating motion with principal component regression strategies" author: - name: "Felipe Pereira do Carmo" link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" year: "2009" doi: "10.1109/MMSP.2009.5293264" abstract: "In this paper, two simple principal component regression methods for estimating the optical flow between frames of video sequences according to a pel-recursive manner are introduced. These are easy alternatives to dealing with mixtures of motion vectors in addition to the lack of prior information on spatial-temporal statistics (although they are supposed to be normal in a local sense). The 2D motion vector estimation approaches take into consideration simple image properties and are used to harmonize regularized least square estimates. Their main advantage is that no knowledge of the noise distribution is necessary, although there is a underlying assumption of localized smoothness. Preliminary experiments indicate that this approach provides robust estimates of the optical flow." researchr: "https://researchr.org/publication/CarmoEstrela2009" cites: 0 citedby: 3 booktitle: "Estimating motion with principal component regression strategies" organization: "IEEE" publisher: "IEEE" kind: "proceedings" key: "CarmoEstrela2009" - title: "Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Luís Antonio Rivera" link: "http://academic.research.microsoft.com/Author/1161431/luis-a-rivera" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Vânia Vieira Estrela" link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Luis Antonio Rivera" link: "http://academic.research.microsoft.com/Author/19802137/luis-a-river" - name: "Luis Antonio Rivera Escriba" link: "http://lattes.cnpq.br/6277334830315068" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2004" abstract: "Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, motion vectors are estimated in an iterative fashion by means of the Expectation-Maximization (EM) algorithm and a Gaussian data model. Our proposed algorithm also utilizes the local image properties of the scene to improve the motion vector estimates following a spatially adaptive approach. Numerical experiments are presented that demonstrate the merits of our methods." researchr: "https://researchr.org/publication/EstrelaRB04" cites: 9 citedby: 0 pages: "47-54" booktitle: "WSCG (Posters)" kind: "inproceedings" key: "EstrelaRB04" - title: "Arquitetura para Visão por Computador" author: - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Osamu Saotome" link: "http://academic.research.microsoft.com/Author/3476641/osamu-saotome?query=osamu%20saotome" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" year: "1991" researchr: "https://researchr.org/publication/vania1991arquitetura" cites: 0 citedby: 0 booktitle: "Anais do Terceiro Simposio Brasileiro de Arquitetura de Computadores e Processamento Paralelo" organization: "SBC" kind: "inproceedings" key: "vania1991arquitetura" - title: "Spatially-Adaptive Regularized Pel-Recursive Motion Estimation based on Cross-Validation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Nikolas P. Galatsanos" link: "http://academic.research.microsoft.com/Author/750594/nikolas-p-galatsanos" - name: "Nikolas P. Galatsanos" link: "http://academic.research.microsoft.com/Author/750594/nikolas-p-galatsanos" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "1998" doi: "10.1109/ICIP.1998.723347" abstract: "Pel-recursive motion estimation is a well established method for finding the displacement vector-field (DVF) between adjacent image frames. The motion due to the optical flow in image sequences is estimated recursively. In this paper, we improve the Wiener-based pel-recursive algorithm by using spatially-adaptive regularization. The outcome of the regularized solution is dependent upon the value of the regularization parameter. This work employs a data-driven approach called generalized cross-validation (GCV) to determine the optimal value of the regularization parameter for each pixel. Experimental results are presented and the linear minimum mean-squared (LMMSE) solution (also known as the Wiener solution) is compared to the proposed approach" tags: - "data validation" - "rule-based" researchr: "https://researchr.org/publication/EstrelaG98" cites: 13 citedby: 8 pages: "200-203" booktitle: "ICIP (2)" kind: "inproceedings" key: "EstrelaG98" - title: "PROCESSAMENTO DE IMAGENS ESTEREOSCOPICAS PARA USO EM GEOTECNIA" author: - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Ivan de Araújo Medina" link: "http://www.eng.uerj.br/prof/8" - name: "Joaquim Teixeira de Assis" link: "http://lattes.cnpq.br/7307238902576135" - name: "Marcus P. Pacheco" link: "http://academic.research.microsoft.com/Author/51419672/marcus-p-pacheco" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" year: "2006" researchr: "https://researchr.org/publication/fernandes2006processamento" cites: 0 citedby: 1 journal: "Proceedings of IX EMC" number: "http://www.emc2006.iprj.uerj.br/GEP/IX$\\backslash$\\%20EMC-2006" kind: "article" key: "fernandes2006processamento" - title: "Blind signal separation and identification of mixtures of images" author: - name: "Felipe Pereira do Carmo" link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo" - name: "Joaquim Teixeira de Assis" link: "http://lattes.cnpq.br/7307238902576135" - name: "Vania Vieira Estrela" link: "http://www.linkedin.com/profile/view?id=101025443&trk=h-gnav-name-link-0" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Joaquim Teixeira Assis" link: "http://academic.research.microsoft.com/Author/35574429/joaquim-teixeira-de-assis" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" year: "2009" month: "nov" doi: "10.1109/ACSSC.2009.5470083" abstract: "In this paper, a novel technique for blind signal separation based on a combination of second order and higher order approaches is introduced. The problem of blind signal separation was solved in a wavelet domain. The main idea behind this approach is that the mixing signal can be decomposed into a sum of uncorrelated and/or independent sub-bands using the wavelet transform. In the beginning, the observed signal is prewhitened in the time domain then, the initial separation matrix will be estimated from second order statistics decorrelation method in the wavelet domain. The estimating matrix will be used as an initial separating matrix in the higher order statistics method in order to estimate the final separation matrix. The algorithm was tested using natural images. Extensive experiments have confirmed that the use of the proposed procedure provides promising results in separating the image from noisy mixtures of images." links: "url": "http://dx.doi.org/10.1109/ACSSC.2009.5470083" tags: - "rule-based" - "testing" - "systematic-approach" researchr: "https://researchr.org/publication/citeulike%3A7598576" cites: 24 citedby: 0 pages: "337-342" booktitle: "2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers" address: "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5470083" publisher: "IEEE" isbn: "978-1-4244-5825-7" kind: "inproceedings" key: "citeulike:7598576" - title: "PENSAMENTO NUMERICO VALORIZANDO O SABER" author: - name: "Maria Raquel dos Anjos" link: "http://www.sbpcnet.org.br/livro/56ra/banco_senior/RESUMOS/resumo_782.html" - name: "Mikhail Vishnevskii" link: "http://lattes.cnpq.br/3218001476646202" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Mikhail Vichnevski" link: "http://lattes.cnpq.br/3218001476646202" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vânia Vieira Estrela" link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2004" month: "July" researchr: "https://researchr.org/publication/dos2004pensamento" cites: 0 citedby: 0 booktitle: "Anais da 56a Reuniao Anual da SBPC - Cuiaba, MT - Julho/2004" organization: "SBPC" publisher: "SBPC" kind: "inproceedings" key: "dos2004pensamento" - title: "Oriented Bounding Boxes Using Multiresolution Contours for Fast Interference Detection of Arbitrary Geometric Objects" author: - name: "Luís Antonio Rivera" link: "http://academic.research.microsoft.com/Author/1161431/luis-a-rivera" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Paulo Cezar P. Carvalho" link: "http://academic.research.microsoft.com/Author/264069/paulo-cezar-pinto-carvalho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Luis Antonio Rivera" link: "http://academic.research.microsoft.com/Author/19802137/luis-a-river" year: "2004" abstract: "Interference detection of arbitrary geometric objects is not a trivial task due to the heavy computational load imposed by implementation issues. The hierarchically structured bounding boxes help us to quickly isolate the contour of segments in interference. In this paper, a new approach is introduced to treat the interference detection problem involving the representation of arbitrary shaped objects. Our proposed method relies upon searching for the best possible way to represent contours by means of hierarchically structured rectangular oriented bounding boxes. This technique handles 2D objects boundaries defined by closed B-spline curves with roughness details. Each oriented box is adapted and fitted to the segments of the contour using second order statistical indicators from some elements of the segments of the object contour in a multiresolution framework. Our method is efficient and robust when it comes to 2D animations in real time. It can deal with smooth curves and polygonal approximations as well results are present to illustrate the performance of the new method." tags: - "Interference Detection" - " Collision Detection" - "C++" - "Computação gráfica" - " Oriented Box" - "Oriented bounding box" - " Multiresolution Representation" - "systematic-approach" - " Bounding Box" researchr: "https://researchr.org/publication/RiveraEC04" cites: 0 citedby: 5 pages: "219" booktitle: "WSCG (Short Papers)" kind: "inproceedings" key: "RiveraEC04" - title: "Prevalence and indirect costs of headache in a Brazilian company" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/57137696/the-prevalence-of-headache-among-elderly-in-a-low-income-area-of-s-o-paulo-brazil" - name: "A. D. E. J. RODRIGUES" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "G. V. D. OLIVEIRA" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "K. F. D. E. SOUZA" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "Leni Joaquim de Matos" link: "http://lattes.cnpq.br/5441208494229169" - name: "M. B. D. E. L. ROCHA" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "Mario A. D. A. C. SAPORTA" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "R. B. ORLEANS" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "R. KOTECKI" link: "http://www.aem-sbem.com/media/uploads/15517_ABEM_SUPL_576.pdf" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania V Estrela" link: "http://academic.research.microsoft.com/Author/3361386" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "1998" doi: "10.1590/S0004-282X1998000500006" researchr: "https://researchr.org/publication/vincent1998prevalence" cites: 0 citedby: 0 journal: "Arquivos de Neuro-Psiquiatria" volume: "56" number: "4" pages: "734-743" kind: "article" key: "vincent1998prevalence" - title: "EM-Based Mixture Models Applied to Video Event Detection" author: - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" year: "2012" abstract: "Surveillance system (SS) development requires hi-tech support to prevail over the shortcomings related to the massive quantity of visual information from SSs. Anything but reduced human monitoring became impossible by means of its physical and economic implications, and an advance towards an automated surveillance becomes the only way out. When it comes to a computer vision system, automatic video event comprehension is a challenging task due to motion clutter, event understanding under complex scenes, multi-level semantic event inference, contextualization of events and views obtained from multiple cameras, unevenness of motion scales, shape changes, occlusions and object interactions among lots of other impairments. In recent years, state-of-the-art models for video event classification and recognition include modeling events to discern context, detecting incidents with only one camera, low-level feature extraction and description, high-level semantic event classification and recognition. Even so, it is still very burdensome to recuperate or label a specific video part relying solely on its content. Principal component analysis (PCA) has been widely known and used, but when combined with other techniques such as the expectation-maximization (EM) algorithm its computation becomes more efficient. This chapter introduces advances associated to the concept of Probabilistic PCA (PPCA) analysis [Tipping et al., 1999)] by of video event understanding technologies. The PPCA model-based method results from the combination of a linear model and the EM algorithm in an iterative fashion in order to determine a principal subspace (PS). Thus, additional work may be needed to find precise principal eigenvectors of the data covariance matrix, with no rotational uncertainty. Kernel principal component analysis (KPCA) is a nonlinear PCA extension that relies on the kernel trick. It has received immense consideration for its value in nonlinear feature mining and other applications. On the other hand, the main drawback of the standard KPCA is that the huge amount of computation required, and the space needed to store the kernel matrix. KPCA can be viewed as a primal space problem with samples created via incomplete Cholesky decomposition. Therefore, all the efficient PCA algorithms can be easily adapted into KPCA. Furthermore, KPCA can be extended to a mixture of local KPCA models by applying the mixture model to probabilistic PCA in the primal space. The theoretical analysis and experiments can shed light onthe performance of the proposed methods in terms of computational efficiency and storage space, as well as recognition rate, especially when the number of data points n is large. By considering KPCA from a probabilistic point of view with the help of the EM algorithm, the computational load can be alleviated, but there still exists a rotational ambiguity with the resulting algorithm implementation. To unravel this intricacy, a constrained EM algorithm for KPCA (and PCA) was formulated founded on a coupled probability model. This brings in advantages related to many factors such as the necessary precision of extracted components, the number of the separated smaller data sets (which is usually empirically set), and the data to be processed. As a generic methodology, another thread of speeding up kernel machine learning is to seek a low-rank approximation to the kernel matrix. Since, as noted by several researchers, the spectrum of the kernel matrix tends to decay rapidly, the low-rank approximation often achieves satisfactory precision. This chapter also aims at looking closely to ways and metrics in order to evaluate these less intensive EM implementations of PCA and KPCA. " tags: - "rule-based" - "Expectation-Maximization Algorithm" - "process monitoring" - "EM Algorithm" - "data-flow analysis" researchr: "https://researchr.org/publication/coelhoestrela2012a" cites: 22 citedby: 11 howpublished: "Printed and online" kind: "misc" key: "coelhoestrela2012a" - title: "Adaptive mixed norm optical flow estimation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Matthias Otto Franz" link: "http://academic.research.microsoft.com/Author/471957/matthias-o-franz" - name: "Ricardo Tadeu Lopes" link: "http://lattes.cnpq.br/8246131317396176" - name: "Gerlimara Paulo de Araujo" link: "http://academic.research.microsoft.com/Author/56818996/ap-de-araujo" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2005" doi: "10.1117/12.632674" abstract: "The pel-recursive computation of 2-D optical flow has been extensively studied in computer vision to estimate motion from image sequences, but it still raises a wealth of issues, such as the treatment of outliers, motion discontinuities and occlusion. It relies on spatio-temporal brightness variations due to motion. Our proposed adaptive regularized approach deals with these issues within a common framework. It relies on the use of a data-driven technique called Mixed Norm (MN) to estimate the best motion vector for a given pixel. In our model, various types of noise can be handled, representing different sources of error. The motion vector estimation takes into consideration local image properties and it results from the minimization of a mixed norm functional with a regularization parameter depending on the kurtosis. This parameter determines the relative importance of the fourth norm and makes the functional convex. The main advantage of the developed procedure is that no knowledge of the noise distribution is necessary. Experiments indicate that this approach provides robust estimates of the optical flow." links: "url": "http://spiedl.aip.org/getabs/servlet/GetabsServlet?prog=normal\\&\\#38;id=PSISDG00596000000159603W000001\\&\\#38;idtype=cvips\\&\\#38;gifs=yes\\&\\#38;ref=no" tags: - "meta-model" - "data-flow" - "Meta-Environment" - "systematic-approach" researchr: "https://researchr.org/publication/citeulike%3A7598661" cites: 12 citedby: 1 volume: "5960" number: "1" address: "https://docs.google.com/a/id.uff.br/file/d/0B08Lz2wJIwumbXlId0xqYXR0elk/edit" publisher: "SPIE" kind: "inproceedings" key: "citeulike:7598661" - title: "EM-Based Mixture Models Applied to Video Event Detection" author: - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" year: "2012" abstract: "Surveillance system (SS) development requires hi-tech support to prevail over the shortcomings related to the massive quantity of visual information from SSs. Anything but reduced human monitoring became impossible by means of its physical and economic implications, and an advance towards an automated surveillance becomes the only way out. When it comes to a computer vision system, automatic video event comprehension is a challenging task due to motion clutter, event understanding under complex scenes, multi-level semantic event inference, contextualization of events and views obtained from multiple cameras, unevenness of motion scales, shape changes, occlusions and object interactions among lots of other impairments. In recent years, state-of-the-art models for video event classification and recognition include modeling events to discern context, detecting incidents with only one camera, low-level feature extraction and description, high-level semantic event classification and recognition. Even so, it is still very burdensome to recuperate or label a specific video part relying solely on its content. Principal component analysis (PCA) has been widely known and used, but when combined with other techniques such as the expectation-maximization (EM) algorithm its computation becomes more efficient. This chapter introduces advances associated to the concept of Probabilistic PCA (PPCA) analysis [Tipping et al., 1999)] by of video event understanding technologies. The PPCA model-based method results from the combination of a linear model and the EM algorithm in an iterative fashion in order to determine a principal subspace (PS). Thus, additional work may be needed to find precise principal eigenvectors of the data covariance matrix, with no rotational uncertainty. Kernel principal component analysis (KPCA) is a nonlinear PCA extension that relies on the kernel trick. It has received immense consideration for its value in nonlinear feature mining and other applications. On the other hand, the main drawback of the standard KPCA is that the huge amount of computation required, and the space needed to store the kernel matrix. KPCA can be viewed as a primal space problem with samples created via incomplete Cholesky decomposition. Therefore, all the efficient PCA algorithms can be easily adapted into KPCA. Furthermore, KPCA can be extended to a mixture of local KPCA models by applying the mixture model to probabilistic PCA in the primal space. The theoretical analysis and experiments can shed light onthe performance of the proposed methods in terms of computational efficiency and storage space, as well as recognition rate, especially when the number of data points n is large. By considering KPCA from a probabilistic point of view with the help of the EM algorithm, the computational load can be alleviated, but there still exists a rotational ambiguity with the resulting algorithm implementation. To unravel this intricacy, a constrained EM algorithm for KPCA (and PCA) was formulated founded on a coupled probability model. This brings in advantages related to many factors such as the necessary precision of extracted components, the number of the separated smaller data sets (which is usually empirically set), and the data to be processed. As a generic methodology, another thread of speeding up kernel machine learning is to seek a low-rank approximation to the kernel matrix. Since, as noted by several researchers, the spectrum of the kernel matrix tends to decay rapidly, the low-rank approximation often achieves satisfactory precision. This chapter also aims at looking closely to ways and metrics in order to evaluate these less intensive EM implementations of PCA and KPCA. " tags: - "rule-based" - "Expectation-Maximization Algorithm" - "process monitoring" - "EM Algorithm" - "data-flow analysis" researchr: "https://researchr.org/publication/coelhoestrela2012a" cites: 22 citedby: 11 howpublished: "Printed and online" kind: "misc" key: "coelhoestrela2012a" - title: "Sub-pixel accuracy edge fitting by means of B-spline" author: - name: "Ricardo Lucas Breder Breder" link: "http://lattes.cnpq.br/3742597671704110" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Joaquim Teixeira de Assis" link: "http://lattes.cnpq.br/7307238902576135" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/57137696/the-prevalence-of-headache-among-elderly-in-a-low-income-area-of-s-o-paulo-brazil" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Ricardo Lucas Breder" link: "http://researchr.org/alias/breder%2C-r." - name: "Vânia Vieira Estrela" link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Joaquim T. de Assis" link: "http://researchr.org/alias/joaquim-teixeira-de-assis" - name: "V V Estrela" link: "http://researchr.org/alias/estrela%2C-vania-vieira" - name: "Joaquim T. de Assis" link: "http://researchr.org/alias/joaquim-teixeira-de-assis" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2009" abstract: "Local perturbations around contours strongly disturb the final result of computer vision tasks. It is common to introduce a priori information in the estimation process. Improvement can be achieved via a deformable model such as the snake model. In recent works, the deformable contour is modeled by means of B-spline snakes which allows local control, concise representation, and the use of fewer parameters. The estimation of the sub-pixel edges using a global B-spline model relies on the contour global determination according to a maximum likelihood framework and using the observed data likelihood. This procedure guarantees that the noisiest data will be filtered out. The data likelihood is computed as a consequence of the observation model which includes both orientation and position information. Comparative experiments of this algorithm and the classical spline interpolation have shown that the proposed algorithm outperforms the classical approach for Gaussian and Salt & Pepper noise." researchr: "https://researchr.org/publication/estrela2009sub" cites: 22 citedby: 1 pages: "1-5" booktitle: "Multimedia Signal Processing, 2009. MMSP'09. IEEE International Workshop on" organization: "IEEE" kind: "inproceedings" key: "estrela2009sub" - title: "EM-Based Mixture Models Applied to Video Event Detection" author: - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" year: "2012" abstract: "Surveillance system (SS) development requires hi-tech support to prevail over the shortcomings related to the massive quantity of visual information from SSs. Anything but reduced human monitoring became impossible by means of its physical and economic implications, and an advance towards an automated surveillance becomes the only way out. When it comes to a computer vision system, automatic video event comprehension is a challenging task due to motion clutter, event understanding under complex scenes, multi-level semantic event inference, contextualization of events and views obtained from multiple cameras, unevenness of motion scales, shape changes, occlusions and object interactions among lots of other impairments. In recent years, state-of-the-art models for video event classification and recognition include modeling events to discern context, detecting incidents with only one camera, low-level feature extraction and description, high-level semantic event classification and recognition. Even so, it is still very burdensome to recuperate or label a specific video part relying solely on its content. Principal component analysis (PCA) has been widely known and used, but when combined with other techniques such as the expectation-maximization (EM) algorithm its computation becomes more efficient. This chapter introduces advances associated to the concept of Probabilistic PCA (PPCA) analysis [Tipping et al., 1999)] by of video event understanding technologies. The PPCA model-based method results from the combination of a linear model and the EM algorithm in an iterative fashion in order to determine a principal subspace (PS). Thus, additional work may be needed to find precise principal eigenvectors of the data covariance matrix, with no rotational uncertainty. Kernel principal component analysis (KPCA) is a nonlinear PCA extension that relies on the kernel trick. It has received immense consideration for its value in nonlinear feature mining and other applications. On the other hand, the main drawback of the standard KPCA is that the huge amount of computation required, and the space needed to store the kernel matrix. KPCA can be viewed as a primal space problem with samples created via incomplete Cholesky decomposition. Therefore, all the efficient PCA algorithms can be easily adapted into KPCA. Furthermore, KPCA can be extended to a mixture of local KPCA models by applying the mixture model to probabilistic PCA in the primal space. The theoretical analysis and experiments can shed light onthe performance of the proposed methods in terms of computational efficiency and storage space, as well as recognition rate, especially when the number of data points n is large. By considering KPCA from a probabilistic point of view with the help of the EM algorithm, the computational load can be alleviated, but there still exists a rotational ambiguity with the resulting algorithm implementation. To unravel this intricacy, a constrained EM algorithm for KPCA (and PCA) was formulated founded on a coupled probability model. This brings in advantages related to many factors such as the necessary precision of extracted components, the number of the separated smaller data sets (which is usually empirically set), and the data to be processed. As a generic methodology, another thread of speeding up kernel machine learning is to seek a low-rank approximation to the kernel matrix. Since, as noted by several researchers, the spectrum of the kernel matrix tends to decay rapidly, the low-rank approximation often achieves satisfactory precision. This chapter also aims at looking closely to ways and metrics in order to evaluate these less intensive EM implementations of PCA and KPCA. " tags: - "rule-based" - "Expectation-Maximization Algorithm" - "process monitoring" - "EM Algorithm" - "data-flow analysis" researchr: "https://researchr.org/publication/coelhoestrela2012a" cites: 22 citedby: 11 howpublished: "Printed and online" kind: "misc" key: "coelhoestrela2012a" - title: "RESTAURACAO DE IMAGENS TOMOGRAFICAS CORROMPIDAS COM RUIDO POISSON: ANALISE NO DOMINIO DA FREQUENCIA ISBN 9788588769366" author: - name: "Leandro Aguiar Fernandes" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=S9175576" - name: "Suely M. M. Dias" link: "http://lattes.cnpq.br/3161384183889272" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Leandro A. Fernandes" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=S9175576" - name: "Suely Machado Meireles Dias" link: "http://lattes.cnpq.br/3161384183889272" - name: "Suely M. M. Dias" link: "http://lattes.cnpq.br/3161384183889272" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "V V Estrela" link: "https://researchr.org/alias/v-v-estrela" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Estrela, V V" link: "https://researchr.org/alias/estrela%2C-v-v" - name: "Vania Estrela" link: "https://researchr.org/alias/vania-estrela" - name: "Leandro Aguiar Fernandes" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=S9175576" year: "2010" abstract: " Embora a maioria das imagens medicas ainda sao produzidos nas placas atuaisde raios X, o uso da tomografia computadorizada na medicina tem evolu´ ıido significati-vamente. Os computadores s˜ ao utilizados principalmente na aquisic¸˜ ao de imagens, mas o passo atual e o futuro´ e a utilizac¸˜ ao de computac¸˜ ao gr ´ afica para auxiliar na quantizac¸˜ ao e no processamento da imagem para extrair a melhor informac¸˜ ao poss´ ıvel. A restaurac¸˜ aode uma imagem consiste na remoc¸˜ ao ou reduc¸˜ ao da degradac¸˜ ao da imagem durante sua aquisic¸˜ ao, incluindo a interfer ˆ encia introduzida pelo sistema´ otico de movimento da im-agem e do ru´ıdo eletrˆ onico e fotom´ etrico. Em um sistema linear, a degradac¸˜ ao da im- agem pode ser modelado por uma Func¸˜ ao de Espalhamento Pontual (PSF) ou de respostade impulso, na qual o ru´ıdo ´ e adicionado. Este trabalho oferece uma alternativa pararestaurac¸˜ ao de imagens, cujo ru´ ıdo´ e gerado por uma distribuic¸˜ ao de Poisson, e umadiscuss˜ ao das caracter´ısticas deste processo, no dom´ınio da freq¨ uˆ encia. " researchr: "https://researchr.org/publication/fernandes2010restauracao" cites: 7 citedby: 0 booktitle: "XIII Encontro de Modelagem Computacional" organization: "IPRJ/Universidade Federal do Rio de Janeiro - UERJ" publisher: "UERJ" kind: "inproceedings" key: "fernandes2010restauracao" - title: "A PRINCIPAL COMPONENT REGRESSION STRATEGY FOR ESTIMATING MOTION" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Vania Estrela" link: "http://www.linkedin.com/profile/view?id=101025443&trk=h-gnav-name-link-0" - name: "Marcos Henrique Da Silva Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "M. H. S. Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Joaquim Teixeira Assis" link: "http://academic.research.microsoft.com/Author/35574429/joaquim-teixeira-de-assis" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" year: "2008" abstract: "In this paper, we derive a principal component regression (PCR) method for estimating the optical flow between frames of video sequences according to a pel-recursive manner. This is an easy alternative to dealing with mixtures of motion vectors due to the lack of too much prior information on their statistics (although they are supposed to be normal). The 2D motion vector estimation takes into consideration local image properties. The main advantage of the developed procedure is that no knowledge of the noise distribution is necessary. Preliminary experiments indicate that this approach provides robust estimates of the optical flow." links: "url": "http://www.engopt.org/08/nukleo/pdfs/0418\\_eng\\_op2008\\_formatado\\_4.pdf" tags: - "clustering" - "image processing" - "Motion estimation" - "surveillance" - " motion detection" - "systematic-approach" - " principal component regression" researchr: "https://researchr.org/publication/citeulike%3A11969138" cites: 16 citedby: 0 journal: "EngOpt 2008 - International Conference on Engineering Optimization" kind: "article" key: "citeulike:11969138" - title: "MOTION ESTIMATION BY MEANS OF PRINCIPAL REGRESSION" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Alfredo Nazareno Pereira Boente" link: "http://academic.research.microsoft.com/Author/56850234/anp-boente" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Fernanda Demetrio da Silva Alves" link: "http://academic.research.microsoft.com/Author/50888332/fernando-da-silva-alves" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" researchr: "https://researchr.org/publication/estrelamotion" cites: 0 citedby: 0 kind: "article" key: "estrelamotion" - title: "Sub-pixel accuracy edge fitting by means of B-spline" author: - name: "Ricardo Lucas Breder Breder" link: "http://lattes.cnpq.br/3742597671704110" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Joaquim Teixeira de Assis" link: "http://lattes.cnpq.br/7307238902576135" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/57137696/the-prevalence-of-headache-among-elderly-in-a-low-income-area-of-s-o-paulo-brazil" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Ricardo Lucas Breder" link: "http://researchr.org/alias/breder%2C-r." - name: "Vânia Vieira Estrela" link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Joaquim T. de Assis" link: "http://researchr.org/alias/joaquim-teixeira-de-assis" - name: "V V Estrela" link: "http://researchr.org/alias/estrela%2C-vania-vieira" - name: "Joaquim T. de Assis" link: "http://researchr.org/alias/joaquim-teixeira-de-assis" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2009" abstract: "Local perturbations around contours strongly disturb the final result of computer vision tasks. It is common to introduce a priori information in the estimation process. Improvement can be achieved via a deformable model such as the snake model. In recent works, the deformable contour is modeled by means of B-spline snakes which allows local control, concise representation, and the use of fewer parameters. The estimation of the sub-pixel edges using a global B-spline model relies on the contour global determination according to a maximum likelihood framework and using the observed data likelihood. This procedure guarantees that the noisiest data will be filtered out. The data likelihood is computed as a consequence of the observation model which includes both orientation and position information. Comparative experiments of this algorithm and the classical spline interpolation have shown that the proposed algorithm outperforms the classical approach for Gaussian and Salt & Pepper noise." researchr: "https://researchr.org/publication/estrela2009sub" cites: 22 citedby: 1 pages: "1-5" booktitle: "Multimedia Signal Processing, 2009. MMSP'09. IEEE International Workshop on" organization: "IEEE" kind: "inproceedings" key: "estrela2009sub" - title: "Error concealment by means of motion refinement and regularized bregman divergence" author: - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Felipe Pereira do Carmo" link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Sandro Roberto Fernandes" link: "http://academic.research.microsoft.com/Author/53603335/sandro-r-fernandes" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Vânia Vieira Estrela" link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2012" abstract: "This work addresses the problem of error concealment in video transmission systems over noisy channels employing Bregman divergences along with regularization. Error concealment intends to improve the effects of disturbances at the reception due to bit-errors or cell loss in packet networks. Bregman regularization gives accurate answers after just some iterations with fast convergence, better accuracy and stability. This technique has an adaptive nature: the regularization functional is updated according to Bregman functions that change from iteration to iteration according to the nature of the neighborhood under study at iteration n. Numerical experiments show that high-quality regularization parameter estimates can be obtained. The convergence is sped up while turning the regularization parameter estimation less empiric, and more automatic." links: published: "https://researchr.org/publication/citeulike%3A11098377" researchr: "https://researchr.org/publication/preprint-citeulike%3A11098377" cites: 0 citedby: 0 type: "Preprint" kind: "techreport" key: "preprint-citeulike:11098377" - title: "Error concealment by means of clustered blockwise PCA" author: - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Joaquim Teixeira de Assis" link: "http://lattes.cnpq.br/7307238902576135" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" - name: "Alessandra Martins Coelho" link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho" year: "2009" doi: "http://dx.doi.org/10.1109/PCS.2009.5167442" abstract: "This paper analyzes two variants of Principal Component Analysis (PCA) for error-concealment: blockwise PCA and clustered blockwise PCA. Realistic communication channels are not error free. Since the signals transmitted on real-world channels are highly compressed, regardless of cause, the quality of images reconstructed from any corrupted data can be very unsatisfactory. Error concealment is intended to ameliorate the impact of channel impairments by utilizing a priori information about typical images in conjunction with available picture redundancy to provide subjectively acceptable renditions of affected picture regions. Some experiments have been performed with the two proposed algorithms and they are shown." links: doi: "http://dx.doi.org/10.1109/PCS.2009.5167442" tags: - "redundancy" - "data-flow" - "data-flow analysis" researchr: "https://researchr.org/publication/coelho2009error" cites: 13 citedby: 6 pages: "1-4" booktitle: "Picture Coding Symposium, 2009. PCS 2009" organization: "IEEE" publisher: "IEEE" kind: "inproceedings" key: "coelho2009error" - title: "Hierarchically Structured Bounding Boxes as an Aid for Cartography and Photogrammetry" author: - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani" - name: "Vania V Estrela" link: "http://academic.research.microsoft.com/Author/3361386" - name: "M. H. S. Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2010" abstract: "A 2D edge analysis scheme has been formulated based on (i) the wavelet transform; (ii) a data structure/object model named HSOBB with multi-resolution support; and (iii) multiple scale significance testing. It quickly isolates contour pieces that may belong to areas under risk. In real time applications, where the test for boundary changes is made in each time step, this is very important for studying the evolution of geotechnical phenomena and handling smooth curves as well as polygonal approximations. HSOBB introduces some noise filtering as well. It is a good option to more classical procedures, since it is able of dealing with a wide range of practical problems. Edges or abrupt jumps in contours may be enhanced by the use of different types of wavelet transform. Additional performance enhancements can be accomplished if noise is not assumed to be Gaussian, since commonly used detectors may have other types of noise ([12], [14], [15]), and may be subject to nonlinear distortions. An algorithm to detect exact interference for general and polygonal models was introduced. It pre-computes a hierarchical model representation using tight fitting OBB trees. At runtime, it goes across two such trees and tries to find overlaps among OBBs based on the separating axis theorem. In particular, it can robustly and accurately detect contacts between large complex geometries. " tags: - "object-role modeling" - "data-flow analysis" researchr: "https://researchr.org/publication/da-Silva-Bassani.-Estrela2010" cites: 15 citedby: 1 booktitle: "Hierarchically Structured Bounding Boxes as an Aid for Cartography and Photogrammetry" kind: "proceedings" key: "da-Silva-Bassani.-Estrela2010" - title: "Regularized Pel-Recursive Motion Estimation Using Generalized Cross-Validation and Spatial Adaptation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Luís Antonio Rivera" link: "http://academic.research.microsoft.com/Author/1161431/luis-a-rivera" - name: "Paulo Cesar Beggio" link: "http://lattes.cnpq.br/8170237658770465" - name: "Ricardo Tadeu Lopes" link: "http://academic.research.microsoft.com/Author/4751306/ricardo-tadeu-lopes" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Ricardo Tadeu Lopes" link: "http://academic.research.microsoft.com/Author/4751306/ricardo-tadeu-lopes" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" year: "2003" doi: "http://csdl.computer.org/comp/proceedings/sibgrapi/2003/2032/00/20320331abs.htm" abstract: "The computation of 2-D optical flow by means of regularized pel-recursive algorithms raises a host of issues, which include the treatment of outliers, motion discontinuities and occlusion among other problems. We propose a new approach which allows us to deal with these issues within a common framework. Our approach is based on the use of a technique called Generalized Cross-Validation to estimate the best regularization scheme for a given pixel. In our model, the regularization parameter is a matrix whose entries can account for diverse sources of error. The estimation of the motion vectors takes into consideration local properties of the image following a spatially adaptive approach where each moving pixel is supposed to have its own regularization matrix. Preliminary experiments indicate that this approach provides robust estimates of the optical flow." links: doi: "http://csdl.computer.org/comp/proceedings/sibgrapi/2003/2032/00/20320331abs.htm" tags: - " spatial adaptation" - " image motion estimation " - "2D optical flow " - "source-to-source" - "C++" - " generalized cross-validation technique " - " occlusion " - " regularization matrix " - " regularized pel-recursive algorithms " - "systematic-approach" researchr: "https://researchr.org/publication/EstrelaRBL03" cites: 10 citedby: 5 pages: "331-338" booktitle: "16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 12-15 October 2003, Sao Carlos, Brazil" publisher: "IEEE Computer Society" isbn: "0-7695-2032-4" kind: "inproceedings" key: "EstrelaRBL03" - title: "Adaptive mixed norm optical flow estimation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Matthias Otto Franz" link: "http://academic.research.microsoft.com/Author/471957/matthias-o-franz" - name: "Ricardo Tadeu Lopes" link: "http://lattes.cnpq.br/8246131317396176" - name: "Gerlimara Paulo de Araujo" link: "http://academic.research.microsoft.com/Author/56818996/ap-de-araujo" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2005" doi: "10.1117/12.632674" abstract: "The pel-recursive computation of 2-D optical flow has been extensively studied in computer vision to estimate motion from image sequences, but it still raises a wealth of issues, such as the treatment of outliers, motion discontinuities and occlusion. It relies on spatio-temporal brightness variations due to motion. Our proposed adaptive regularized approach deals with these issues within a common framework. It relies on the use of a data-driven technique called Mixed Norm (MN) to estimate the best motion vector for a given pixel. In our model, various types of noise can be handled, representing different sources of error. The motion vector estimation takes into consideration local image properties and it results from the minimization of a mixed norm functional with a regularization parameter depending on the kurtosis. This parameter determines the relative importance of the fourth norm and makes the functional convex. The main advantage of the developed procedure is that no knowledge of the noise distribution is necessary. Experiments indicate that this approach provides robust estimates of the optical flow." links: "url": "http://spiedl.aip.org/getabs/servlet/GetabsServlet?prog=normal\\&\\#38;id=PSISDG00596000000159603W000001\\&\\#38;idtype=cvips\\&\\#38;gifs=yes\\&\\#38;ref=no" tags: - "meta-model" - "data-flow" - "Meta-Environment" - "systematic-approach" researchr: "https://researchr.org/publication/citeulike%3A7598661" cites: 12 citedby: 1 volume: "5960" number: "1" address: "https://docs.google.com/a/id.uff.br/file/d/0B08Lz2wJIwumbXlId0xqYXR0elk/edit" publisher: "SPIE" kind: "inproceedings" key: "citeulike:7598661" - title: "A PRINCIPAL COMPONENT REGRESSION STRATEGY FOR ESTIMATING MOTION" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela" - name: "Vania Estrela" link: "http://www.linkedin.com/profile/view?id=101025443&trk=h-gnav-name-link-0" - name: "Marcos Henrique Da Silva Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "M. H. S. Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" - name: "Joaquim Teixeira de Assis" link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis" - name: "Joaquim Teixeira Assis" link: "http://academic.research.microsoft.com/Author/35574429/joaquim-teixeira-de-assis" - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani" year: "2008" abstract: "In this paper, we derive a principal component regression (PCR) method for estimating the optical flow between frames of video sequences according to a pel-recursive manner. This is an easy alternative to dealing with mixtures of motion vectors due to the lack of too much prior information on their statistics (although they are supposed to be normal). The 2D motion vector estimation takes into consideration local image properties. The main advantage of the developed procedure is that no knowledge of the noise distribution is necessary. Preliminary experiments indicate that this approach provides robust estimates of the optical flow." links: "url": "http://www.engopt.org/08/nukleo/pdfs/0418\\_eng\\_op2008\\_formatado\\_4.pdf" tags: - "clustering" - "image processing" - "Motion estimation" - "surveillance" - " motion detection" - "systematic-approach" - " principal component regression" researchr: "https://researchr.org/publication/citeulike%3A11969138" cites: 16 citedby: 0 journal: "EngOpt 2008 - International Conference on Engineering Optimization" kind: "article" key: "citeulike:11969138"