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31st annual workshop of the Austrian Association for Pattern (OAGM/AAPR), Krumbach : Austria (2007)

Shape Matching Using the Geodesic Eccentricity Transform - A Study

Adrian Ion 1, Gabriel Peyré 2, Yll Haxhimusa 1, Samuel Peltier 1, Walter G. Kropatsch 1, Laurent D. Cohen 2

(08/2007)

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.

1 :	Pattern Recognition and Image Processing Group (PRIP)
	Vienna University of Technology
2 :	CEntre de REcherches en MAthématiques de la DEcision (CEREMADE)
	CNRS : UMR7534 – Université Paris IX - Paris Dauphine

Domaine

:

Informatique/Traitement du signal et de l'image Sciences de l'ingénieur/Traitement du signal et de l'image

Mots Clés : Eccentricity – geodesic – fast marching – shape matching

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Contributeur : Gabriel Peyré <>

Soumis le : Mercredi 4 Mars 2009, 20:32:29

Dernière modification le : Mardi 1 Décembre 2009, 15:24:19