Generalized Unstructured Decimation

  • Authors:
  • Kevin J. Renze;James H. Oliver

  • Affiliations:
  • -;-

  • Venue:
  • IEEE Computer Graphics and Applications
  • Year:
  • 1996

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Abstract

This article presents a general algorithm for decimating unstructured discretized data sets. The discretized space may be a planar triangulation, a general 3D surface triangulation, or a 3D tetrahedrization. Local dynamic vertex removal is performed without history information, while preserving the initial topology and boundary geometry. The decimation algorithm generates a candidate tessellation and topologically identifies the set of valid n-simplices that tessellate the convex/nonconvex hole. The algorithm uses only existing vertices and assumes manifold geometry. The research focuses on how to remove a vertex from an existing unstructured n-dimensional tessellation, not on the formulation of application specific decimation criteria.