Planar Symmetry Detection by Random Sampling and Voting Process

  • Atsushi Imiya
  • Tomoki Ueno
  • Iris Fermin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1876)

Abstract

We propose a randomized method for the detection of symmetry in planar polygons without assuming the predetermination of the centroids of the objects. Using a voting process, which is the main concept of the Hough transform in image processing, we transform the geometric computation for symmetry detection which is usually based on graph theory and combinatorial optimization, to the peak detection problem in a voting space in the context of the Hough transform.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Atsushi Imiya
    • 1
  • Tomoki Ueno
    • 1
  • Iris Fermin
    • 1
  1. 1.Dept. of IISChiba UniversityChibaJapan

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