Efficient object description and recognition based on shape signature

  • Authors:

  • Andrzej Florek;Tomasz Piascik

  • Affiliations:

  • Institute of Control and Information Engineering, Poznan University of Tecnology, Poznan, Poland;Institute of Control and Information Engineering, Poznan University of Tecnology, Poznan, Poland

  • Venue:
  • Machine Graphics & Vision International Journal
  • Year:
  • 2006

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Abstract

A simple and efficient approach to recognition and classification of planar shapes is proposed. This approach is based on comparison of areas of dynamic adapted centroid signatures. The usefulness of our approach for assessment of the similarity equally of convex and non-convex objects and objects containing openings is shown.