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Robust Location based Partial Correlation

Zhong-Dan Lan 1 Roger Mohr 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
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 {\em 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.
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https://hal.inria.fr/inria-00073503
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Submitted on : Wednesday, May 24, 2006 - 1:04:42 PM
Last modification on : Monday, December 28, 2020 - 3:44:02 PM
Long-term archiving on: : Sunday, April 4, 2010 - 11:48:21 PM

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  • HAL Id : inria-00073503, version 1

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Zhong-Dan Lan, Roger Mohr. Robust Location based Partial Correlation. [Research Report] RR-3186, INRIA. 1997. ⟨inria-00073503⟩

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