Detecting Symmetry and Symmetric Constellations of Features

  • Gareth Loy
  • Jan-Olof Eklundh
Conference paper

DOI: 10.1007/11744047_39

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3952)
Cite this paper as:
Loy G., Eklundh JO. (2006) Detecting Symmetry and Symmetric Constellations of Features. In: Leonardis A., Bischof H., Pinz A. (eds) Computer Vision – ECCV 2006. ECCV 2006. Lecture Notes in Computer Science, vol 3952. Springer, Berlin, Heidelberg

Abstract

A novel and efficient method is presented for grouping feature points on the basis of their underlying symmetry and characterising the symmetries present in an image. We show how symmetric pairs of features can be efficiently detected, how the symmetry bonding each pair is extracted and evaluated, and how these can be grouped into symmetric constellations that specify the dominant symmetries present in the image. Symmetries over all orientations and radii are considered simultaneously, and the method is able to detect local or global symmetries, locate symmetric figures in complex backgrounds, detect bilateral or rotational symmetry, and detect multiple incidences of symmetry.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gareth Loy
    • 1
  • Jan-Olof Eklundh
    • 1
  1. 1.Computational Vision & Active Perception LaboratoryRoyal Institute of Technology (KTH)Sweden

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