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Three-Dimensional Structure Detection from Anisotropic Alpha-Shapes

  • Sébastien Bougleux
  • Mahmoud Melkemi
  • Abderrahim Elmoataz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3656)

Abstract

We present an application of a family of affine diagrams to the detection of three-dimensional sampled structures embedded in a perturbated background. This family of diagrams is an extension of the Voronoi diagram, namely the anisotropic diagrams. These diagrams are defined by using a parameterized distance whose unit ball is an ellipsoidal one. The parameters, upon which depends this distance, control the elongation and the orientation of the associated ellipsoidal ball. Based on these diagrams, we define the three-dimensional anisotropic α-shape concept. This concept is an extension of the Euclidean one, it allows us to detect structures, as straight lines and planes, in a given direction. The detection of a more general polyhedral structure is obtained by merging several anisotropic α-shapes, computed for different orientations.

Keywords

Voronoi Diagram Linear Structure Delaunay Triangulation Elongation Ratio Anisotropic Mesh 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Sébastien Bougleux
    • 1
  • Mahmoud Melkemi
    • 2
  • Abderrahim Elmoataz
    • 3
  1. 1.GREYC CNRS UMR 6072, ENSICAENCaen CedexFrance
  2. 2.LMIA, équipe MAGEMulhouse CedexFrance
  3. 3.LUSAC, Site UniversitaireCherbourg-OctevilleFrance

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