Occlusions and binocular stereo

Davi Geiger, Bruce Ladendorf, Alan Yuille

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Binocular stereo is the process of obtaining depth information from a pair of left and right cameras. In the past occlusions have been regions where stereo algorithms have failed. We show that, on the contrary, they can help stereo computation by providing cues for depth discontinuities. We describe a theory for stereo based on the Bayesian approach. We suggest that a disparity discontinuity in one eye’s coordinate system always corresponds to an occluded region in the other eye thus leading to an occlusion constraint or monotonicity constraint. The constraint restricts the space of possible disparity values, simplifying the computations, and gives a possible explanation for a variety of optical illusions. Using dynamic programming we have been able to find the optimal solution to our system and the experimental results support the model.

Original languageEnglish (US)
Title of host publicationComputer Vision - ECCV 1992 - 2nd European Conference on Computer Vision, Proceedings
EditorsGiulio Sandini
PublisherSpringer Verlag
Pages425-433
Number of pages9
ISBN (Print)9783540554264
DOIs
StatePublished - Jan 1 1992
Event2nd European Conference on Computer Vision, ECCV 1992 - Santa Margherita Ligure, Italy
Duration: May 19 1992May 22 1992

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume588 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd European Conference on Computer Vision, ECCV 1992
CountryItaly
CitySanta Margherita Ligure
Period5/19/925/22/92

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Geiger, D., Ladendorf, B., & Yuille, A. (1992). Occlusions and binocular stereo. In G. Sandini (Ed.), Computer Vision - ECCV 1992 - 2nd European Conference on Computer Vision, Proceedings (pp. 425-433). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 588 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-55426-2_48