Title | ||
---|---|---|
Area-preserving mesh parameterization for poly-annulus surfaces based on optimal mass transportation. |
Abstract | ||
---|---|---|
This work proposes a novel method for computing area-preserving parameterization for genus zero surfaces with multiple boundaries (poly-annuli), which is based on discrete optimal mass transportation and surface Ricci Flow. We first begin with a conformal mapping (which may greatly distort area) by Ricci Flow and then correct the area distortion using the mass transport procedure via a convex optimization. The method is intrinsic and stable, and the resulting parameterization preserves area element and minimizes angle distortion. Comparing with existing algorithms, our method is more general and flexible. It can handle surfaces with more complicated topology, and gives users full control of the target measure, such as the areas of the holes. We have tested the method for applications in various fields. Our experimental results demonstrate the efficiency and efficacy of the proposed method. Area-preserving parameterization handles genus 0 surfaces with multiple boundaries.The mapping is diffeomorphic and unique under normalization.The mapping is invariant under conformal transformations.The number of unknown variables is reduced from O ( n 2 ) to O ( n ) . |
Year | DOI | Venue |
---|---|---|
2016 | 10.1016/j.cagd.2016.05.005 | Computer Aided Geometric Design |
Keywords | Field | DocType |
Area-preservation mapping,Multi-holed surface,Surface flattening,Optimal transport mapping,Ricci flow | Ricci flow,Topology,Mathematical optimization,Parametrization,Mesh parameterization,Conformal map,Invariant (mathematics),Convex optimization,Distortion,Mathematics,Diffeomorphism | Journal |
Volume | Issue | ISSN |
46 | C | 0167-8396 |
Citations | PageRank | References |
8 | 0.48 | 31 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kehua Su | 1 | 15 | 1.04 |
Li Cui | 2 | 25 | 2.92 |
Kun Qian | 3 | 8 | 0.48 |
Na Lei | 4 | 51 | 15.99 |
Junwei Zhang | 5 | 46 | 9.28 |
Min Zhang | 6 | 10 | 0.84 |
Xianfeng Gu | 7 | 2997 | 189.71 |