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Mise en correspondance par invariants locaux

Cordelia Schmid 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 : This paper presents an alternative to standard matching methods . Its main novel feature is to rely on greylevel invariants that are computed locally. This allows matching even in presence of large image change in rotation or scaling . These invariants are the set of differential invariants in rotation with an additional multiscale approach for taking into account scale changes . Such invariants were also expanded towards illumination changes allowing therefore large illumination variations . The overall method is quite easy to be understood and implemented and provides surprisingly good results .
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Submitted on : Monday, December 20, 2010 - 8:43:58 AM
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  • HAL Id : inria-00548369, version 1



Cordelia Schmid, Roger Mohr. Mise en correspondance par invariants locaux. Reconnaissance des Formes et Intelligence Artificielle (RFIA '96), Jan 1996, Rennes, France. pp.236--245. ⟨inria-00548369⟩



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