Multigrid convergence and surface area estimation

  • Authors:
  • David Coeurjolly;Frédéric Flin;Olivier Teytaud;Laure Tougne

  • Affiliations:
  • Laboratoire ERIC, Bron Cedex;Centre d'Etudes de la Neige, Saint Martin d'Hères Cedex;Artelys, Issy-les-Moulineaux Cedex;Laboratoire ERIC, Bron Cedex

  • Venue:
  • Proceedings of the 11th international conference on Theoretical foundations of computer vision
  • Year:
  • 2002

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Abstract

Surface area of discrete objects is an important feature for model-based image analysis. In this article, we present a theoretical framework in order to prove multigrid convergence of surface area estimators based on discrete normal vector field integration. The paper details an algorithm which is optimal in time and multigrid convergent to estimate the surface area and a very efficient algorithm based on a local but adaptive computation.