Sampling and meshing a surface with guaranteed topology and geometry

  • Authors:
  • Siu-Wing Cheng;Tamal K. Dey;Edgar A. Ramos;Tathagata Ray

  • Affiliations:
  • HKUST, Hong Kong;Ohio State U.;UIUC;Ohio State U.

  • Venue:
  • SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
  • Year:
  • 2004

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Abstract

This paper presents an algorithm for sampling and triangulatinga smooth surface Σ ⊂ ℝ3 where the triangulation is homeomorphic to Σ. The only assumption we make is that the input surface representation is amenable to certain types of computations, namely computations of the intersection points of a line with the surface, computations of the critical points of some height functions defined on the surface and its restriction to a plane, and computations of some silhouette points. The algorithm ensures bounded aspect ratio, size optimality, and smoothness of the output triangulation. Unlike previous algorithms, this algorithm does not need to compute the local feature size for generating the sample points which was a major bottleneck. Experiments show the usefulness of the algorithm in remeshing and meshing CAD surfaces that are piecewise smooth.