title: A Bayesian approach to the stereo correspondence problem.
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.
authors.affiliation: University Laboratory of Physiology, Oxford, OX1 3PT, UK. jenny.read@physiol.ox.ac.uk
authors.forename: Jenny C A
authors.initials: JC
authors.lastname: Read
mesh_terms: D001499:Bayes Theorem; D003867:Depth Perception / Q000502:physiology*; D008954:Models, Biological; D012160:Retina / Q000502:physiology*