Computing geodesic spectra of surfaces

  • Authors:
  • Miao Jin;Feng Luo;Shing-Tung Yau;Xianfeng Gu

  • Affiliations:
  • Stony Brook University;Rutgers University;Harvard University;Stony Brook University

  • Venue:
  • Proceedings of the 2007 ACM symposium on Solid and physical modeling
  • Year:
  • 2007

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Abstract

Surface classification is one of the most fundamental problems in geometric modeling. Surfaces can be classified according to their conformal structures. In general, each topological equivalent class has infinite conformally equivalent classes. This paper introduces a novel method to classify surfaces by their conformal structures. Surfaces in the same conformal class share the same uniformization metric, which induces constant Gaussian curvature everywhere on the surface. Under the uniformization metric, each homotopy class of a closed curves on the surface has a unique geodesic. The lengths of all closed geodesics form the geodesic spectrum. The map from the fundamental group to the geodesic spectrum completely determines the conformal structure of the surface. We first compute the uniformization metric using discrete Ricci flow method, then compute the Fuchsian group generators, finally deduce the geodesic spectra from the generators in a closed form. The method is rigorous and practical. Geodesic spectra is applied as the signature of surfaces for shape comparison and classification.