Shape Matching Using the Geodesic Eccentricity Transform - A Study

Abstract : This paper makes use of the continuous eccentricity transform to perform shape matching. The eccentricity transform has already been proven useful in a discrete graph-theoretic setting. We show how these ideas extend naturally to the continuous setting thus bringing a higher geometrical fidelity. The continuous eccentricity transform is used to compute multiscale descriptors for shapes. These descriptors are defined as histograms of the eccentricity transform of a scale-space representation of the shape. These multiscale descriptors are naturally invariant to euclidean motion and bending. They show promising results for shape discrimination.
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Communication dans un congrès
Wolfgang Ponweiser, Markus Vincze. 31st annual workshop of the Austrian Association for Pattern (OAGM/AAPR), Aug 2007, Krumbach, Austria. pp.97--104, 2007
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Contributeur : Gabriel Peyré <>
Soumis le : mercredi 4 mars 2009 - 20:32:29
Dernière modification le : mercredi 28 septembre 2016 - 16:14:47
Document(s) archivé(s) le : mardi 8 juin 2010 - 20:02:32

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  • HAL Id : hal-00365897, version 1

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Adrian Ion, Gabriel Peyré, Yll Haxhimusa, Samuel Peltier, Walter Kropatsch, et al.. Shape Matching Using the Geodesic Eccentricity Transform - A Study. Wolfgang Ponweiser, Markus Vincze. 31st annual workshop of the Austrian Association for Pattern (OAGM/AAPR), Aug 2007, Krumbach, Austria. pp.97--104, 2007. <hal-00365897>

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