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Robust location based partial correlation

  • Zhong-Dan Lan
  • Roger Mohr
Stereo and Correspondence
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1296)

Abstract

The visual correspondence problem is a major issue in computer vision. Correlation is a common tool for this problem. Most classical correlation methods fail near the disparity discontinuities, which occur at the boundaries of objects. In this paper, a partial correlation technique is proposed to solve this problem. Robust location methods are used to perform this partial correlation. Comparisons are made with other techniques and experimental results validate the approach.

Keywords

Partial Correlation Partial Occlusion Stereo Match Robust Regression Pixel Error 
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 1997

Authors and Affiliations

  • Zhong-Dan Lan
    • 1
  • Roger Mohr
    • 1
  1. 1.Projet MoviLaboratoire GravirMontbonnotFrance

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