Geometry compression using spherical wavelet

Authors:
Guojun Peng;Jiawan Tan;Zhigeng Pan;Yicheng Jin
Affiliations:
Jimei University, Xiamen, China;State Key Laboratory of CADSCG at Zhejiang University, Hangzhou, China;State Key Laboratory of CADSCG at Zhejiang University, Hangzhou, China;Navigational Dynamic Simulation S Control Laboratory at Dalian Maritime University, Dalian, China
Venue:
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Year:
2006

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Abstract

This paper proposed a novel geometry compression method using spherical wavelet. Given a manifold triangle mesh with zero genus and arbitrary topology, it is globally parameterized over the unit sphere S2 in E3 firstly. At the same time, by subdividing an icosahedron and projecting all its vertices onto the unit sphere from the center, we can get a spherical triangle mesh with subdivision topology. Then we re-sampling all signals defined on the surface of the original triangle mesh at the vertices of the spherical subdivision mesh and get a set of discrete geometry signals with subdivision topology which can be compressed by using spherical wavelet.