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Shape Matching Using the Geodesic Eccentricity Transform - A Study

Ion, Adrian; Peyré, Gabriel; Haxhimusa, Yll; Peltier, Samuel; Kropatsch, Walter G.; Cohen, Laurent D. (2007), Shape Matching Using the Geodesic Eccentricity Transform - A Study, in C. Belezna,i W. Ponweiser, M. Vincze, 31st annual workshop of the Austrian Association for Pattern (OAGM/AAPR), OCG, p. 97-104

Type
Communication / Conférence
Date
2007
Conference country
AUSTRIA
Book title
31st annual workshop of the Austrian Association for Pattern (OAGM/AAPR)
Book author
C. Belezna,i W. Ponweiser, M. Vincze
Publisher
OCG
Pages
97-104
Metadata
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Author(s)
Ion, Adrian

Peyré, Gabriel

Haxhimusa, Yll

Peltier, Samuel

Kropatsch, Walter G.

Cohen, Laurent D.
Abstract (EN)
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.
Subjects / Keywords
fast marching; shape matching; Eccentricity; geodesic