Spherical Parameterization Balancing Angle and Area Distortions
October 21, 2018 Β· Declared Dead Β· π IEEE Transactions on Visualization and Computer Graphics
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Authors
Saad Nadeem, Zhengyu Su, Wei Zeng, Arie Kaufman, Xianfeng Gu
arXiv ID
1810.09031
Category
cs.GR: Graphics
Citations
56
Venue
IEEE Transactions on Visualization and Computer Graphics
Last Checked
5 months ago
Abstract
This work presents a novel framework for spherical mesh parameterization. An efficient angle-preserving spherical parameterization algorithm is introduced, which is based on dynamic Yamabe flow and the conformal welding method with solid theoretic foundation. An area-preserving spherical parameterization is also discussed, which is based on discrete optimal mass transport theory. Furthermore, a spherical parameterization algorithm, which is based on the polar decomposition method, balancing angle distortion and area distortion is presented. The algorithms are tested on 3D geometric data and the experiments demonstrate the efficiency and efficacy of the proposed methods.
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