Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling

Debora Gil, Petia Radeva. Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling. In Anand Rangarajan, Mário A. T. Figueiredo, Josiane Zerubia, editors, Energy Minimization Methods in Computer Vision and Pattern Recognition, 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings. Volume 2683 of Lecture Notes in Computer Science, pages 357-372, Springer, 2003. [doi]

@inproceedings{GilR03,
  title = {Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling},
  author = {Debora Gil and Petia Radeva},
  year = {2003},
  url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2683&spage=357},
  tags = {meta-model, data-flow, Meta-Environment},
  researchr = {https://researchr.org/publication/GilR03},
  cites = {0},
  citedby = {0},
  pages = {357-372},
  booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition, 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings},
  editor = {Anand Rangarajan and Mário A. T. Figueiredo and Josiane Zerubia},
  volume = {2683},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-40498-8},
}