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An Adaptive Approach for Affine-Invariant 2D Shape Description

  • A. Bandera
  • E. Antúnez
  • R. Marfil
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5524)

Abstract

In this paper, a new algorithm for 2D shape characterization is proposed. This method characterizes a planar object using a triangle-area representation obtained from its closed contour. As main novelty with respect to previous approaches, in our approach the triangle side lengths at each contour point are adapted to the local variations of the shape, removing noise from the contour without missing relevant points. This representation is invariant to affine transformations, and robust against noise. The performance of our proposal is demonstrated using a standard test on the well-known MPEG-7 CE-shape-1 data set.

Keywords

Chord Length Dynamic Time Warping Shape Descriptor Adaptive Approach Shape Representation 
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 2009

Authors and Affiliations

  • A. Bandera
    • 1
  • E. Antúnez
    • 2
  • R. Marfil
    • 1
  1. 1.Grupo ISIS, Dpto. Tecnología ElectrónicaUniversity of MálagaSpain
  2. 2.PRIPVienna University of TechnologyAustria

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