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Probability distributions of optical flow

Simoncelli, E.P., Adelson, E.H., Heeger, D.J.·2002·Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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.>

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Crossref · 10.1109/cvpr.1991.139707

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Metadata

Authors
Simoncelli, E. P., Adelson, E. H., & Heeger, D. J.
Venue
Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Published
2002-12-10
Pages
310-315
ISSN
1063-6919 (ISSN-L)
OpenAlex
W2152231592
Cited by
376
References
1
FWCI
20.11
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Probability distributions of optical flow. https://app.cochat.ai/papers/10.1109/cvpr.1991.139707
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Simoncelli, E. P., Adelson, E. H., & Heeger, D. J. (2002). Probability distributions of optical flow. Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.1991.139707

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