Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators

Shengze Cai, Étienne Mémin, Pierre Dérian, Chao Xu. Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators. In Marcello Pelillo, Edwin R. Hancock, editors, Energy Minimization Methods in Computer Vision and Pattern Recognition - 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 - November 1, 2017, Revised Selected Papers. Volume 10746 of Lecture Notes in Computer Science, pages 155-171, Springer, 2017. [doi]

@inproceedings{CaiMDX17,
  title = {Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators},
  author = {Shengze Cai and Étienne Mémin and Pierre Dérian and Chao Xu},
  year = {2017},
  doi = {10.1007/978-3-319-78199-0_11},
  url = {https://doi.org/10.1007/978-3-319-78199-0_11},
  researchr = {https://researchr.org/publication/CaiMDX17},
  cites = {0},
  citedby = {0},
  pages = {155-171},
  booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition - 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 - November 1, 2017, Revised Selected Papers},
  editor = {Marcello Pelillo and Edwin R. Hancock},
  volume = {10746},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-78199-0},
}