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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 - 8:44:05 AM
Last modification on : Monday, December 28, 2020 - 3:44:02 PM

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Cordelia Schmid, Roger Mohr. Mise en correspondance par invariants locaux. Traitement du Signal, Lavoisier, 1996, 13 (6), pp.591--606. ⟨inria-00548379⟩

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