Surface Matching and Registration Using Symmetric Conformal Mapping
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.
Wei Zeng Xianfeng David Gu
Computer Science Department Stony Brook University Stony Brook, New York 11794
国际会议
黄山
英文
249-254
2009-08-19(万方平台首次上网日期,不代表论文的发表时间)