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Putting the Pieces Together: Regularized Multi-part Shape Matching

  • Or Litany
  • Alexander M. Bronstein
  • Michael M. Bronstein
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7583)

Abstract

Multi-part shape matching is an important class of problems, arising in many fields such as computational archaeology, biology, geometry processing, computer graphics and vision. In this paper, we address the problem of simultaneous matching and segmentation of multiple shapes. We assume to be given a reference shape and multiple parts partially matching the reference. Each of these parts can have additional clutter, have overlap with other parts, or there might be missing parts. We show experimental results of efficient and accurate assembly of fractured synthetic and real objects.

Keywords

Iterative Close Point Data Term Partial Match Alignment Error Rigid Transformation 
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 2012

Authors and Affiliations

  • Or Litany
    • 1
  • Alexander M. Bronstein
    • 1
  • Michael M. Bronstein
    • 2
  1. 1.School of Electrical EngineeringTel Aviv UniversityIsrael
  2. 2.Institute of Computational Science, Faculty of InformaticsUniversita della Svizzera ItalianaLuganoSwitzerland

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