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Regularized Partial Matching of Rigid Shapes

  • Alexander M. Bronstein
  • Michael M. Bronstein
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5303)

Abstract

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.

Keywords

Hausdorff Distance Iterative Close Point Rigid Motion Partial Match Boundary Length 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Alexander M. Bronstein
    • 1
  • Michael M. Bronstein
    • 1
  1. 1.Technion – Israel Institute of TechnologyHaifaIsrael

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