Mesh massage: A versatile mesh optimization framework

Tim Winkler, Kai Hormann, Craig Gotsman

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We present a general framework for post-processing and optimizing surface meshes with respect to various target criteria. On the one hand, the framework allows us to control the shapes of the mesh triangles by applying simple averaging operations; on the other hand we can control the Hausdorff distance to some reference geometry by minimizing a quadratic energy. Due to the simplicity of this setup, the framework is efficient and easy to implement, yet it also constitutes an effective and versatile tool with a variety of possible applications. In particular, we use it to reduce the texture distortion in animated mesh sequences, to improve the results of cross-parameterizations, and to minimize the distance between meshes and their remeshes.

Original languageEnglish (US)
Pages (from-to)775-785
Number of pages11
JournalVisual Computer
Volume24
Issue number7-9
DOIs
StatePublished - Jul 1 2008
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

Keywords

  • Hausdorff distance
  • Laplacian smoothing
  • Mesh optimization
  • Parameterization
  • Remeshing

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