Deformation-Driven Shape Correspondence

Symposium on Geometry Processing 2008

Hao Zhang1, Alla Sheffer2, Daniel Cohen-Or3,
Qingnan Zhou2, Oliver van Kaick1, and Andrea Tagliasacchi1

1Simon Fraser University
2University of British Columbia
3Tel Aviv University

Figure: The dino-skeleton is deformed to match the raptor (red markers indicate features). Top two candidate correspondences are shown. Switching between symmetric parts, highlighted in circle, is detected by the distortion cost.


We present an automatic feature correspondence algorithm capable of handling large, non-rigid shape variations, as well as partial matching. This is made possible by leveraging the power of state-of-the-art mesh deformation techniques and relying on a combinatorial tree traversal for correspondence search. The search is deformation-driven, prioritized by a self-distortion energy measured on meshes deformed according to a given correspondence. We demonstrate the ability of our approach to naturally match shapes which differ in pose, local scale, part decomposition, and geometric detail through numerous examples.


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BibTex Reference

  author = {Hao Zhang and Alla Sheffer and Daniel Cohen-Or and
            Qingnan Zhou and Oliver van Kaick and Andrea Tagliasacchi},
  title = {Deformation-Driven Shape Correspondence},
  journal = {Computer Graphics Forum (Special Issue of Symposium on
             Geometry Processing 2008)},
  year = 2008,
  volume = 27,
  number = 5,
  pages = {???-???}


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