Non-isotropic regularization of the correspondence space in stereo-vision

The correspondence problem in stereo vision is notoriously difficult. In many approaches a noisy solution is extracted from the correspondence space. Various sophisticated regularization techniques are applied then on this noisy solution. We study here the possibility to denoise the correspondence/c...

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Bibliographic Details
Published inProceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004 Vol. 4; pp. 293 - 296 Vol.4
Main Authors Ben-Ari, R., Sochen, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Area measurement
Cameras
Convolution
Cost function
Energy resolution
Focusing
Gaussian noise
Layout
Mathematics
Stereo vision
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Summary:The correspondence problem in stereo vision is notoriously difficult. In many approaches a noisy solution is extracted from the correspondence space. Various sophisticated regularization techniques are applied then on this noisy solution. We study here the possibility to denoise the correspondence/correlation space before extracting the solution, by a non-linear and non-isotropic scheme. We show that this method preserves edges (depth discontinuities) well and overcomes some of the problems encountered in previous approaches.
ISBN:0769521282
9780769521282
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2004.1333761