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A Bayesian approach to the stereo correspondence problem.

Jenny C A Read
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Abstract

I present a probabilistic approach to the stereo correspondence problem. Rather than trying to find a single solution in which each point in the left retina is assigned a partner in the right retina, all possible matches are considered simultaneously and assigned a probability of being correct. This approach is particularly suitable for stimuli where it is inappropriate to seek a unique partner for each retinal position--for instance, where objects occlude each other, as in Panum's limiting case. The probability assigned to each match is based on a Bayesian analysis previously developed to explain psychophysical data (Read, 2002). This provides a convenient way to incorporate constraints that enable the ill-posed correspondence problem to be solved. The resulting model behaves plausibly for a variety of different stimuli.

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Bayes TheoremDepth PerceptionModels, BiologicalRetinaJournal ArticleResearch Support, Non-U.S. Gov't

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Jenny C A Read. 2002. A Bayesian approach to the stereo correspondence problem.. https://doi.org/10.1162/089976602753712981

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