An A Contrario Decision Method for Shape Element Recognition

Authors:
Pablo Musé;Frédéric Sur;Frédéric Cao;Yann Gousseau;Jean-Michel Morel
Affiliations:
CMLA, ENS de Cachan, Cachan Cedex, France 94235;Aff1 Aff2;IRISA, INRIA Rennes, Rennes Cedex, France 35042;Signal and Image Processing Department, CNRS UMR 5141, Paris Cedex 13, France 75643;CMLA, ENS de Cachan, Cachan Cedex, France 94235
Venue:
International Journal of Computer Vision
Year:
2006

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Abstract

Shape recognition is the field of computer vision which addresses the problem of finding out whether a query shape lies or not in a shape database, up to a certain invariance. Most shape recognition methods simply sort shapes from the database along some (dis-)similarity measure to the query shape. Their main weakness is the decision stage, which should aim at giving a clear-cut answer to the question: "do these two shapes look alike?" In this article, the proposed solution consists in bounding the number of false correspondences of the query shape among the database shapes, ensuring that the obtained matches are not likely to occur "by chance". As an application, one can decide with a parameterless method whether any two digital images share some shapes or not.