Variational Optical Flow
Variational Optical Flow is a method for estimating the motion field between two images by minimizing an energy functional that combines a data term enforcing brightness constancy with a regularization term preserving smoothness, thereby formulating optical flow computation as a variational optimization problem.
184
Publications
17.8K
Citations
418
Authors
199
Institutions
Publications per year
2017–2026
31
Parents
184
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg, N. Michael Mayer, Tonmoy Saikia et al. · 2017 · 3.3K citations
DeepFlow: Large Displacement Optical Flow with Deep Matching
Philippe Weinzaepfel, Jérôme Revaud, Zaïd Harchaoui et al. · 2013 · 995 citations · Full text
EpicFlow: Edge-preserving interpolation of correspondences for optical flow
Jérôme Revaud, Philippe Weinzaepfel, Zaïd Harchaoui et al. · 2015 · 757 citations · Full text
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199
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
10 h-index
25 publications
9.4K citations

Saarland University
Saarbrücken, Germany
9 h-index
26 publications
2.7K citations
Utrecht University
Utrecht, The Netherlands
7 h-index
20 publications
787 citations
Western Michigan University
Kalamazoo, United States
5 h-index
10 publications
562 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
11 publications
927 citations
University of California, Berkeley
Berkeley, United States
5 h-index
9 publications
3.6K citations
University of Mannheim
Mannheim, Germany
5 h-index
11 publications
1.1K citations

Universitat Pompeu Fabra
Barcelona, Spain
5 h-index
16 publications
2.7K citations
1–8 of 199
11 publications · 2.2K citations
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9 publications · 593 citations
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8 publications · 281 citations
8
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7 publications · 305 citations
7
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CVIU · 7 publications · 261 citations
7
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