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Occlusions and binocular stereo

  • Davi Geiger
  • Bruce Ladendorf
  • Alan Yuille
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 588)

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.

Keywords

Illusory Contour Stereo Match Epipolar Line Occlude Region Monotonicity Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Davi Geiger
    • 1
  • Bruce Ladendorf
    • 1
  • Alan Yuille
    • 2
  1. 1.Siemens Corporate ResearchPrinceton
  2. 2.Division of Applied SciencesHarvard UniversityCambridgeUSA

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