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Symmetric Conformal Mapping for Surface Matching and Registration  

Zeng, Wei (Computer Science Department, Wayne State University)
Hua, Jing (Computer Science Department, Wayne State University)
Gu, Xianfeng David (Computer Science Department, Stony Brook University)
Publication Information
Abstract
Recently, various conformal geometric methods have been presented for non-rigid surface matching and registration. This work proposes to improve the robustness of conformal geometric methods to the boundaries by incorporating the symmetric information of the input surface. We presented two symmetric conformal mapping methods, which are based on solving Riemann-Cauchy equation and curvature flow respectively. Experimental results on geometric data acquired from real life demonstrate that the symmetric conformal mapping is insensitive to the boundary occlusions. The method outperforms all the others in terms of robustness. The method has the potential to be generalized to high genus surfaces using hyperbolic curvature flow.
Keywords
conformal mapping; symmetry; matching and registration; curvature flow; Riemann-Cauchy equation;
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