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inria-00154798, version 2

Stability of boundary measures

Frédéric Chazal () 1, David Cohen-Steiner () 1, Quentin Mérigot () 2

N° RR-6219 (2007)

Abstract: We introduce the boundary measure at scale r of a compact subset of the n-dimensional Euclidean space. We show how it can be computed for point clouds and suggest these measures can be used for feature detection. The main contribution of this work is the proof a quantitative stability theorem for boundary measures using tools of convex analysis and geometric measure theory. As a corollary we obtain a stability result for Federer's curvature measures of a compact, allowing to compute them from point-cloud approximations of the compact.

  • Domain : Computer Science/Computational Geometry
    Mathematics/Classical Analysis and ODEs
    Mathematics/Metric Geometry
  • Keywords : dimension detection – point clouds – curvature measures – volume of tubes – convex functions – nearest neighbor
  • Internal note : RR-6219
  • Available versions :  v1 (2007-06-14) v2 (2007-06-18)
 
  • inria-00154798, version 2
  • oai:hal.inria.fr:inria-00154798
  • From: 
  • Submitted on: Monday, 18 June 2007 11:06:22
  • Updated on: Tuesday, 15 June 2010 17:06:14
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