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Proceedings Paper

Contour-based shape similarity
Author(s): Rolf Lakaemper; Longin Jan Latecki; Ulrich Eckhardt
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Paper Abstract

A similarity measure for silhouettes of 2D objects is presented, and its properties are analyzed with respect to retrieval of similar objects in an image database. Our measure profits from a novel approach to subdivision of objects into parts of visual form. To compute our similarity measure, we first establish the best possible correspondence of visual parts, which is based on a correspondence of convex boundary arcs. Then the similarity between correspondence arcs is computed and aggregated. We applied our similarity measure to shape matching of object contours in various image databases and compared it to well-known approaches in the literature. The experimental results justify that our shape matching procedure gives an intuitive shape correspondence and is stable with respect to noise distortions.

Paper Details

Date Published: 2 October 1998
PDF: 12 pages
Proc. SPIE 3454, Vision Geometry VII, (2 October 1998); doi: 10.1117/12.323256
Show Author Affiliations
Rolf Lakaemper, Univ. of Hamburg (Germany)
Longin Jan Latecki, Univ. of Hamburg (United States)
Ulrich Eckhardt, Univ. of Hamburg (Germany)

Published in SPIE Proceedings Vol. 3454:
Vision Geometry VII
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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