Shape matching and anisotropy

Michael Kazhdan, Thomas Funkhouser, Szymon Rusinkiewicz

Research output: Contribution to conferencePaper

13 Scopus citations

Abstract

With recent improvements in methods for the acquisition and rendering of 3D models, the need for retrieval of models has gained prominence in the graphics and vision communities. A variety of methods have been proposed that enable the efficient querying of model repositories for a desired 3D shape. Many of these methods use a 3D model as a query and attempt to retrieve models from the database that have a similar shape. In this paper we consider the implications of anisotropy on the shape matching paradigm. In particular, we propose a novel method for matching 3D models that factors the shape matching equation as the disjoint outer product of anisotropy and geometric comparisons. We provide a general method for computing the factored similarity metric and show how this approach can be applied to improve the matching performance of many existing shape matching methods.

Original languageEnglish (US)
Pages623-629
Number of pages7
DOIs
StatePublished - Dec 1 2004
EventACM SIGGRAPH 2004, SIGGRAPH 2004 - Los Angeles, CA, United States
Duration: Aug 8 2004Aug 12 2004

Other

OtherACM SIGGRAPH 2004, SIGGRAPH 2004
CountryUnited States
CityLos Angeles, CA
Period8/8/048/12/04

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Keywords

  • Anisotropy
  • Shape matching

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    Kazhdan, M., Funkhouser, T., & Rusinkiewicz, S. (2004). Shape matching and anisotropy. 623-629. Paper presented at ACM SIGGRAPH 2004, SIGGRAPH 2004, Los Angeles, CA, United States. https://doi.org/10.1145/1186562.1015770