Symmetry Descriptors and 3D Shape Matching

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. Categories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Methodology and Techniques

• Type: Conference
• Year: 2004
• Where: SGP
• Authors: Michael M. Kazhdan, Thomas A. Funkhouser, Szymon Rusinkiewicz
• Keywords: Reflective Symmetry, SGP 2004, SGP 2007, Subject Descriptors, Symmetry Descriptors