• 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