An a contrario decision method for shape element recognition

Pablo Musé 1 Frédéric Sur 2 Frédéric Cao 3 Yann Gousseau 4 Jean-Michel Morel 1
1 CMLA - Centre de Mathématiques et de Leurs Applications
2 MAGRIT - Visual Augmentation of Complex Environments
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
4 LTSI - Laboratoire Traitement du Signal et de l'Image
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.
Keywords : planar shape recognition background model number of false alarms meaningful matches level lines
Type de document :
Article dans une revue
International Journal of Computer Vision, Springer Verlag, 2006, 69 (3), pp.295-315. 〈10.1007/s11263-006-7546-0〉
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https://hal.inria.fr/inria-00104260
Contributeur : Frédéric Sur <>
Soumis le : vendredi 6 octobre 2006 - 10:57:15
Dernière modification le : vendredi 16 novembre 2018 - 01:23:20

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Pablo Musé, Frédéric Sur, Frédéric Cao, Yann Gousseau, Jean-Michel Morel. An a contrario decision method for shape element recognition. International Journal of Computer Vision, Springer Verlag, 2006, 69 (3), pp.295-315. 〈10.1007/s11263-006-7546-0〉. 〈inria-00104260〉

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