Recent advances in computational conformal geometry

Xianfeng David Gu Feng Luo Shing-Tung Yau

Computational Geometry mathscidoc:1912.43636

189-221, 2009.9
Computational conformal geometry focuses on developing the computational methodologies on discrete surfaces to discover conformal geometric invariants. In this work, we briefly summarize the recent developments for methods and related applications in computational conformal geometry. There are two major approaches, holomorphic differentials and curvature flow. The holomorphic differential method is a linear method, which is more efficient and robust to triangulations with lower quality. The curvature flow method is nonlinear and requires higher quality triangulations, but more flexible. The conformal geometric methods have been broadly applied in many engineering fields, such as computer graphics, vision, geometric modeling and medical imaging. The algorithms are robust for surfaces scanned from real life, general for surfaces with different topologies. The efficiency and efficacy of the algorithms
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  title={Recent advances in computational conformal geometry},
  author={Xianfeng David Gu, Feng Luo, and Shing-Tung Yau},
Xianfeng David Gu, Feng Luo, and Shing-Tung Yau. Recent advances in computational conformal geometry. 2009. pp.189-221.
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