Browse by author
Lookup NU author(s): Professor Jenny ReadORCiD
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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.
Author(s): Read JC
Publication type: Article
Publication status: Published
Journal: Neural Computation
Year: 2002
Volume: 14
Issue: 6
Pages: 1371-1392
ISSN (print): 0899-7667
ISSN (electronic): 1530-888X
Publisher: MIT Press
URL: http://dx.doi.org/10.1162/089976602753712981
DOI: 10.1162/089976602753712981
Altmetrics provided by Altmetric