DocumentCode
2184541
Title
Optimal global conformal surface parameterization
Author
Jin, Miao ; Wang, Yalin ; Yau, Shing-Tung ; Gu, Xiaufeng
Author_Institution
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA
fYear
2004
fDate
10-15 Oct. 2004
Firstpage
267
Lastpage
274
Abstract
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.
Keywords
computational geometry; data visualisation; image representation; image texture; mesh generation; solid modelling; surface fitting; Riemann surface theory; computational geometry; differential geometry; finite dimensional optimization; global conformal parameterization; mesh generation; object modeling; surface representation; texture mapping; Computational geometry; Computational modeling; Computer science; Conformal mapping; Optimization methods; Solid modeling; Surface structures; Surface texture; Topology; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization, 2004. IEEE
Print_ISBN
0-7803-8788-0
Type
conf
DOI
10.1109/VISUAL.2004.75
Filename
1372206
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