Anisotropic smoothing of point sets

  • Authors:
  • Carsten Lange;Konrad Polthier

  • Affiliations:
  • TU Berlin, Institut für Mathematik, Berlin, Germany;Zuse Institute Berlin, Berlin, Germany

  • Venue:
  • Computer Aided Geometric Design - Special issue: Geometric modelling and differential geometry
  • Year:
  • 2005

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Abstract

The use of point sets instead of meshes became more popular during the last years. We present a new method for anisotropic fairing of a point sampled surface using an anisotropic geometric mean curvature flow. The main advantage of our approach is that the evolution removes noise from a point set while it detects and enhances geometric features of the surface such as edges and corners. We derive a shape operator, principal curvature properties of a point set, and an anisotropic Laplacian of the surface. This anisotropic Laplacian reflects curvature properties which can be understood as the point set analogue of Taubin's curvature-tensor for polyhedral surfaces. We combine these discrete tools with techniques from geometric diffusion and image processing. Several applications demonstrate the efficiency and accuracy of our method.