Symmetry descriptors and 3D shape matching

Michael Kazhdan, Thomas Funkhouser, Szymon Rusinkiewicz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

79 Scopus citations

Abstract

In this paper, we present the Symmetry Descriptors of a 3D model. This is a collection of spherical functions that describes the measure of a model's rotational and reflective symmetry with respect to every axis passing through the center of mass. We show that Symmetry Descriptors can be computed efficiently using fast signal processing techniques, and demonstrate the empirical value of Symmetry Descriptors by showing that they improve matching performance in a variety of shape retrieval experiments.

Original languageEnglish (US)
Title of host publicationSGP 2004 - Symposium on Geometry Processing
Pages115-123
Number of pages9
DOIs
StatePublished - Dec 1 2004
Event2nd Symposium on Geometry Processing, SGP 2004 - Nice, France
Duration: Jul 8 2004Jul 10 2004

Publication series

NameACM International Conference Proceeding Series
Volume71

Other

Other2nd Symposium on Geometry Processing, SGP 2004
CountryFrance
CityNice
Period7/8/047/10/04

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Keywords

  • I.3.6 [Computer Graphics]: Methodology and Techniques

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