Abstract | ||
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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. |
Year | DOI | Venue |
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2009 | 10.1109/CADCG.2009.5246897 | CAD/Graphics |
Keywords | Field | DocType |
surface registration,image matching,hyperbolic curvature flow,conformal geometric methods,computational geometry,surface matching,conformal mapping,riemann-cauchy equation,image registration,symmetric conformal mapping,boundary occlusions,data mining,harmonic analysis,conformal map,robustness | Topology,Geometric data analysis,Curvature,Computer science,Computational geometry,Robustness (computer science),Conformal map,Harmonic analysis,Extremal length,Image registration | Conference |
ISBN | Citations | PageRank |
978-1-4244-3701-6 | 0 | 0.34 |
References | Authors | |
11 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wei Zeng | 1 | 75 | 3.80 |
Xianfeng Gu | 2 | 2997 | 189.71 |