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Abstract: Gradient methods are widely used in the computation of optical flow. We 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. We compute distributed optical flow for a synthetic image sequence and demonstrate that the probabilistic model accounts for the errors in the flow estimates. ... (Update)
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BibTeX entry: (Update)
E. Simoncelli, E. Adelson, and D. Heeger, "Probability distributions of optical flow," in Proceedings of the IEEE Computer Vision and Pattern Recognition Conference, pp. 310--315, 1991. http://citeseer.ist.psu.edu/article/simoncelli91probability.html More
@inproceedings{ simoncelli91probability,
author = "E P Simoncelli and E H Adelson and D J Heeger",
title = "Probability Distributions of Optical Flow",
booktitle = "Proc Conf on Computer Vision and Pattern Recognition",
publisher = "IEEE Computer Society",
address = "Mauii, Hawaii",
pages = "310--315",
year = "1991",
url = "citeseer.ist.psu.edu/article/simoncelli91probability.html" }
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