Full and Partial Symmetries of Non-rigid Shapes
International Journal of Computer Vision
Affine puzzle: realigning deformed object fragments without correspondences
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
A correspondence-less approach to matching of deformable shapes
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Putting the pieces together: regularized multi-part shape matching
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
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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.