Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets

Burkhard Güssefeld, Katrin Honauer, Daniel Kondermann. Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets. In George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Fatih Porikli, Sandra Skaff, Alireza Entezari, Jianyuan Min, Daisuke Iwai, Amela Sadagic, Carlos Scheidegger, Tobias Isenberg, editors, Advances in Visual Computing - 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part I. Volume 10072 of Lecture Notes in Computer Science, pages 77-90, Springer, 2016. [doi]

@inproceedings{GussefeldHK16,
  title = {Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets},
  author = {Burkhard Güssefeld and Katrin Honauer and Daniel Kondermann},
  year = {2016},
  doi = {10.1007/978-3-319-50835-1_8},
  url = {http://dx.doi.org/10.1007/978-3-319-50835-1_8},
  researchr = {https://researchr.org/publication/GussefeldHK16},
  cites = {0},
  citedby = {0},
  pages = {77-90},
  booktitle = {Advances in Visual Computing - 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part I},
  editor = {George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Fatih Porikli and Sandra Skaff and Alireza Entezari and Jianyuan Min and Daisuke Iwai and Amela Sadagic and Carlos Scheidegger and Tobias Isenberg},
  volume = {10072},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-50834-4},
}