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Matching by local invariants

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 a matching method which is based on invariants of the luminance function. This makes matching possible in the case of important geometric transformations between images. The method is robust to occlusion, as local properties of the image signal are used. We propose to use differential measures invariant to rotations in a multi-scale framework. Promising results are obtained which might be used for a variety of applications.
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Reports (Research report)
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Submitted on : Wednesday, May 24, 2006 - 2:23:01 PM
Last modification on : Thursday, October 27, 2022 - 4:02:53 AM
Long-term archiving on: : Sunday, April 4, 2010 - 9:23:18 PM


  • HAL Id : inria-00074046, version 1


Cordelia Schmid, Roger Mohr. Matching by local invariants. [Research Report] RR-2644, INRIA. 1995. ⟨inria-00074046⟩



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