Probability Distributions of Optical Flow

Simoncelli, Eero P.; Adelson, Edward H.; Heeger, David J.

doi:10.1109/CVPR.1991.139707

Probability Distributions of Optical Flow

Eero P. Simoncelli, Edward H. Adelson, David J. Heeger

CVPR 1991 pp. 310-315

doi:10.1109/CVPR.1991.139707 /cvpr/1991/simoncelli1991cvpr-probability/

Abstract

Gradient methods are widely used in the computation of optical flow. The authors discuss extensions of these methods which compute probability distributions of optical flow. The use of distributions allows representation of the uncertainties inherent in the optical flow computation, facilitating the combination with information from other sources. Distributed optical flow for a synthetic image sequence is computed, and it is demonstrated that the probabilistic model accounts for the errors in the flow estimates. The distributed optical flow for a real image sequence is computed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Simoncelli et al. "Probability Distributions of Optical Flow." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139707

Markdown

[Simoncelli et al. "Probability Distributions of Optical Flow." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/simoncelli1991cvpr-probability/) doi:10.1109/CVPR.1991.139707

BibTeX

@inproceedings{simoncelli1991cvpr-probability,
  title     = {{Probability Distributions of Optical Flow}},
  author    = {Simoncelli, Eero P. and Adelson, Edward H. and Heeger, David J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {310-315},
  doi       = {10.1109/CVPR.1991.139707},
  url       = {https://mlanthology.org/cvpr/1991/simoncelli1991cvpr-probability/}
}