Journal of
Engineering and Computer Innovations

  • Abbreviation: J. Eng. Comput. Innov.
  • Language: English
  • ISSN: 2141-6508
  • DOI: 10.5897/JECI
  • Start Year: 2010
  • Published Articles: 27

Full Length Research Paper

A Feature preserved mesh simplification algorithm

Jiacai Wang1, Lirong Wang2*, Jinzhu Li3 and Ichiro Hagiwara1
  Large-volume mesh model faces challenge in rendering, storing, and transmission due to large size of polygon data. Mesh simplification is one of solutions to reduce the data size.This paper presents a mesh simplification method based on feature extraction withcurvature estimation to triangle mesh. The simplified topology preserves good geometricalfeatures in the area with distinct features, that is, coarse simplified mesh in the flat region and fine simplified mesh around the areas of crease and corner. Sequence of mesh simplification is controlled on the basis of geometrical feature sensitivity, which results inreasonable simplification topology with less data size. This algorithm can decrease thesize of the file by largely simplifying flat areas and preserving the geometric feature as well.   Key word: Mesh simplification, feature extraction, curvature estimation
Email: [email protected]

  • Article Number - 1FCF3798500
  • Vol.2(6), pp. 98-105, June 2011
  •  Accepted: 12 April 2011
  •  Published: 30 June 2011

Abstract

 

Large-volume mesh model faces challenge in rendering, storing, and transmission due to large size of polygon data. Mesh simplification is one of solutions to reduce the data size.This paper presents a mesh simplification method based on feature extraction withcurvature estimation to triangle mesh. The simplified topology preserves good geometricalfeatures in the area with distinct features, that is, coarse simplified mesh in the flat region and fine simplified mesh around the areas of crease and corner. Sequence of mesh simplification is controlled on the basis of geometrical feature sensitivity, which results inreasonable simplification topology with less data size. This algorithm can decrease thesize of the file by largely simplifying flat areas and preserving the geometric feature as well.

 

Key word: Mesh simplification, feature extraction, curvature estimation

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