Spherical Parameterization Balancing Angle and Area Distortions

October 21, 2018 Β· Declared Dead Β· πŸ› 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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