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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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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Abstract 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.
AbstractList 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.
Author Sochen, N.
Ben-Ari, R.
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Snippet The correspondence problem in stereo vision is notoriously difficult. In many approaches a noisy solution is extracted from the correspondence space. Various...
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StartPage 293
SubjectTerms Area measurement
Cameras
Convolution
Cost function
Energy resolution
Focusing
Gaussian noise
Layout
Mathematics
Stereo vision
Title Non-isotropic regularization of the correspondence space in stereo-vision
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