Topologically robust B-spline surface reconstruction from point clouds using level set methods and iterative geometric fitting algorithms

Hiroki Yoshihara, Tatsuya Yoshii, Tadahiro Shibutani, Takashi Maekawa

研究成果: Article査読

17 被引用数 (Scopus)

抄録

In this paper, we present a procedure for automatically reconstructing an arbitrary topological surface from an unorganized point data set; this surface will have three representations, namely quadrilateral meshes, Catmull-Clark subdivision surfaces, and B-spline surfaces. Our novel reconstruction method adapts a level set method to capture the topology of the point clouds in a robust manner and then employs an iterative geometric fitting algorithm to generate high-quality Catmull-Clark subdivision surfaces. A quadrilateral mesh is generated by projecting the control net of the resulting Catmull-Clark surface onto its limit surface. Finally, the control net of the Catmull-Clark surface is converted to that of a B-spline surface. The reconstructed models of topologically complex models show the effectiveness of the proposed algorithm.

本文言語English
ページ(範囲)422-434
ページ数13
ジャーナルComputer Aided Geometric Design
29
7
DOI
出版ステータスPublished - 2012 10
外部発表はい

ASJC Scopus subject areas

  • Modelling and Simulation
  • Automotive Engineering
  • Aerospace Engineering
  • Computer Graphics and Computer-Aided Design

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