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Symmetry descriptors and 3D shape matching
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Source ACM International Conference Proceeding Series; Vol. 71 archive
Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing table of contents
Nice, France
SESSION: Session 4 table of contents
Pages: 115 - 123  
Year of Publication: 2004
ISBN ~ ISSN:1727-8384 , 3-905673-13-4
Authors
Michael Kazhdan  Princeton University, Princeton NJ
Thomas Funkhouser  Princeton University, Princeton NJ
Szymon Rusinkiewicz  Princeton University, Princeton NJ
Sponsor
Eurographics: Eurographics Association
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  17

Collaborative Colleagues:
Michael Kazhdan: colleagues
Thomas Funkhouser: colleagues
Szymon Rusinkiewicz: colleagues