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

Rami Ben-Ari, Nir Sochen

Research output: Contribution to journalConference articlepeer-review

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 methods preserves edges (depth discontinuities) well and overcomes some of the problems encountered in previous approaches.

Original languageEnglish
Pages (from-to)293-296
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume4
DOIs
StatePublished - 2004
EventProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
Duration: 23 Aug 200426 Aug 2004

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