Uniform remeshing of 3D meshes of arbitrary topology using discrete constrained centroid voronoi clustering

Shuhua Lai, Gaoqi He

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we propose a remeshing algorithm for altering the mesh geometry and connectivity of a 3D model to improve its uniformality. The new remeshing algorithm replaces an arbitrarily structured 3D mesh with a uniformly structured one, which has a given number of vertices, while approximates the original input mesh well. This is done through an elegant and efficient mesh clustering algorithm, which divides the faces of an input mesh into a given number of clusters for remeshing purpose by approximating the Centroidal Voronoi Tessellation of the mesh. With proliferation of 3D scanners, this remeshing algorithm is particularly useful for reverse engineering applications of 3D models, which in many cases are dense, nonuniform, irregular and arbitrary topology. Examples demonstrating effectiveness of the new algorithm are also included in the paper. Copyright ISCA.

Original languageEnglish
Title of host publicationProceedings of the 31st International Conference on Computers and Their Applications, CATA 2016
EditorsAntoine Bossard
PublisherThe International Society for Computers and Their Applications (ISCA)
Pages335-340
Number of pages6
ISBN (Electronic)9781943436026
StatePublished - 2016
Externally publishedYes
Event31st International Conference on Computers and Their Applications, CATA 2016 - Las Vegas, United States
Duration: 4 Apr 20166 Apr 2016

Publication series

NameProceedings of the 31st International Conference on Computers and Their Applications, CATA 2016

Conference

Conference31st International Conference on Computers and Their Applications, CATA 2016
Country/TerritoryUnited States
CityLas Vegas
Period4/04/166/04/16

Keywords

  • Mesh clustering
  • Remeshing
  • Shape approximation

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