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Published in:
2008 | OriginalPaper | Chapter
Regularized Partial Matching of Rigid Shapes
Authors : Alexander M. Bronstein, Michael M. Bronstein
Published in: Computer Vision – ECCV 2008
Publisher: Springer Berlin Heidelberg
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Matching of rigid shapes is an important problem in numerous applications across the boundary of computer vision, pattern recognition and computer graphics communities. A particularly challenging setting of this problem is partial matching, where the two shapes are dissimilar in general, but have significant similar parts. In this paper, we show a rigorous approach allowing to find matching parts of rigid shapes with controllable size and regularity. The regularity term we use is similar to the spirit of the Mumford-Shah functional, extended to non-Euclidean spaces. Numerical experiments show that the regularized partial matching produces better results compared to the non-regularized one.