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Using Irreducible Group Representations for Invariant 3D Shape Description

  • Marco Reisert
  • Hans Burkhardt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4174)

Abstract

Invariant feature representations for 3D objects are one of the basic needs in 3D object retrieval and classification. One tool to obtain rotation invariance are Spherical Harmonics, which are an orthogonal basis for the functions defined on the 2-sphere. We show that the irreducible representations of the 3D rotation group, which acts on the Spherical Harmonic representation, can give more information about the considered object than the Spherical Harmonic expansion itself. We embed our new feature extraction methods in the group integration framework and show experiments for 3D-surface data (Princeton Shape Benchmark).

Keywords

Irreducible Representation Invariant Feature Rotation Group Feature Extraction Method Group Integration 
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 2006

Authors and Affiliations

  • Marco Reisert
    • 1
  • Hans Burkhardt
    • 1
  1. 1.Computer Science DepartmentUniversity of FreiburgFreiburg i.Br.Germany

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