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A Bayesian Approach to the Stereo Correspondence Problem.
- Source :
-
Neural Computation . Jun2002, Vol. 14 Issue 6, p1371-1392. 22p. 4 Black and White Photographs, 2 Diagrams. - Publication Year :
- 2002
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BAYESIAN analysis
*PROBABILISTIC number theory
Subjects
Details
- Language :
- English
- ISSN :
- 08997667
- Volume :
- 14
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Neural Computation
- Publication Type :
- Academic Journal
- Accession number :
- 6682286
- Full Text :
- https://doi.org/10.1162/089976602753712981