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Optimal Global Conformal Surface Parameterization
Austin, Texas October 10-October 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/VISUAL.2004.7515th IEEE Visualization 2004 (VIS 2004)
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Miao Jin, State University of New York at Stony Brook
Yalin Wang, University of California at Los Angeles
Shing-Tung Yau, Harvard University
Xianfeng Gu, State University of New York at Stony Brook
All orientable metric surfaces are Riemann surfaces and admit global conformal parameterizations. Riemann surface structure is a fundamental structure and governs many natural physical phenomena, such as heat diffusion and electro-magnetic fields on the surface. A good parameterization is crucial for simulation and visualization. This paper provides an explicit method for finding optimal global conformal parameterizations of arbitrary surfaces. It relies on certain holomorphic differential forms and conformal mappings from differential geometry and Riemann surface theories. Algorithms are developed to modify topology, locate zero points, and determine cohomology types of differential forms. The implementation is based on a finite dimensional optimization method. The optimal parameterization is intrinsic to the geometry, preserves angular structure, and can play an important role in various applications including texture mapping, remeshing, morphing and simulation. The method is demonstrated by visualizing the Riemann surface structure of real surfaces represented as triangle meshes.
Index Terms:
Computational geometry and object modeling; Curve, surface, solid, and object representations; Surface parameterization
Citation:
Miao Jin, Yalin Wang, Shing-Tung Yau, Xianfeng Gu, "Optimal Global Conformal Surface Parameterization," vis, pp.267-274, 15th IEEE Visualization 2004 (VIS 2004), 2004
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