Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
State of the art in shape matching
Principles of visual information retrieval
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
MPEG-4 video retrieval using video-objects and edge potential functions
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
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An efficient approach to shape matching in digital images is presented. The method, called Weighted Edge Potential Function, is a significant improvement of the EPF similarity measure, which models the image edges as charged elements in order to generate a field of attraction over similarly shaped objects. Experimental results and comparisons demonstrate that WEPF enhances the properties of EPF and outperforms traditional similarity metrics in shape matching applications, in particular in the presence of noise and clutter.