IEEE Transactions on Pattern Analysis and Machine Intelligence
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A similarity measure for silhouettes of 2D objects ispresented, and its properties are analyzed with respectto 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 basedon a correspondence of convex boundary arcs. Thenthe similarity between corresponding arcs is computedand aggregated. We applied our similarity measure toshape matching of object contours in various imagedatabases and compared it to well known approachesin the literature. The experimental results justify thatour shape matching procedure gives an intuitive shapecorrespondence and is stable with respect to noise distortions.