Isotropic Surface Remeshing

  • Authors:
  • Pierre Alliez;Éric Colin de Verdière;Olivier Devillers;Martin Isenburg

  • Affiliations:
  • -;-;-;-

  • Venue:
  • SMI '03 Proceedings of the Shape Modeling International 2003
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper proposes a new method for isotropic remeshing of triangulatedsurface meshes. Given a triangulated surface mesh to beresampled and a user-specified density function defined over it, wefirst distribute the desired number of samples by generalizing errordiffusion, commonly used in image halftoning, to work directly onmesh triangles and feature edges. We then use the resulting samplingas an initial configuration for building a weighted centroidalVoronoi tessellation in a conformal parameter space, where thespecified density function is used for weighting. We finally createthe mesh by lifting the corresponding constrained Delaunay triangulationfrom parameter space. A precise control over the samplingis obtained through a flexible design of the density function, thelatter being possibly low-pass filtered to obtain a smoother gradation.We demonstrate the versatility of our approach through variousremeshing examples.