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Describing and Matching 2D Shapes by Their Points of Mutual Symmetry

  • Arjan Kuijper
  • Ole Fogh Olsen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3953)

Abstract

A novel shape descriptor is introduced. It groups pairs of points that share a geometrical property that is based on their mutual symmetry. The descriptor is visualized as a diagonally symmetric diagram with binary valued regions. This diagram is a fingerprint of global symmetry between pairs of points along the shape. The descriptive power of the method is tested on a well-known shape data base containing several classes of shapes and partially occluded shapes. First tests with simple, elementary matching algorithms show good results.

Keywords

Medial Axis Shape Descriptor Tangency Point Equidistant Point Maximal Circle 
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

  • Arjan Kuijper
    • 1
  • Ole Fogh Olsen
    • 2
  1. 1.RICAMLinzAustria
  2. 2.IT-University of CopenhagenDenmark

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