Symmetry descriptors and 3D shape matching

  • Authors:
  • Michael Kazhdan;Thomas Funkhouser;Szymon Rusinkiewicz

  • Affiliations:
  • Princeton University, Princeton NJ;Princeton University, Princeton NJ;Princeton University, Princeton NJ

  • Venue:
  • Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing
  • Year:
  • 2004

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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.