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
TypeCommunication / Conférence
Book title31st annual workshop of the Austrian Association for Pattern (OAGM/AAPR)
Book authorC. Belezna,i W. Ponweiser, M. Vincze
MetadataShow full item record
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 / Keywordsfast marching; shape matching; Eccentricity; geodesic
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