Robust Matching by Partial Correlation

Zhong-Dan Lan 1 Roger Mohr 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : Visual correspondence problem (matching), %including stereo matching and motion matching, is an major issue in vision. Matching can be divided in {\it feature-based} and {\it area-based} matching. In area-based matching, correlation is a common tool for the visual correspondence problem. But most classical correlation methods fail near the disparity discontinuity, which occurs at the boundaries of objects. In this report, we propose a {\it partial correlation} technique for solving this problem. We use a robust statistics tool to find the {\it good part} to be considered for applying correlation, We have compared our method with the standard and non standard techniques. Experimental results validate the approach.
Type de document :
[Research Report] RR-2643, INRIA. 1995
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Soumis le : mercredi 24 mai 2006 - 14:23:12
Dernière modification le : mercredi 11 avril 2018 - 01:53:18
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  • HAL Id : inria-00074047, version 1



Zhong-Dan Lan, Roger Mohr. Robust Matching by Partial Correlation. [Research Report] RR-2643, INRIA. 1995. 〈inria-00074047〉



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