Contour-based shape similarity

Rolf Lakaemper; Longin Jan Latecki; Ulrich Eckhardt

doi:10.1117/12.323256

2 October 1998 Contour-based shape similarity

Rolf Lakaemper, Longin Jan Latecki, Ulrich Eckhardt

Proceedings Volume 3454, Vision Geometry VII; (1998) https://doi.org/10.1117/12.323256
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Rolf Lakaemper, Longin Jan Latecki, and Ulrich Eckhardt "Contour-based shape similarity", Proc. SPIE 3454, Vision Geometry VII, (2 October 1998); https://doi.org/10.1117/12.323256

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