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inria-00142213, version 1

Boundary Shape Recognition Using Accumulated Length and Angle Information

Marçal Mr Rusiñol () a1, Philippe Dosch () b2, Josep Jl Lladós () 1

Third Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA 2007 4478 (2007) 210-217

Résumé : In this paper we present a method to recognize shapes by analyzing a polygonal approximation of their boundaries. The method is independent of the used approximation method since its recognition strategy does not rely on the number of segments composing the shape. Length and turning angle information are extracted from the chain of segments. The comparison method is invariant to scale, translation and some occlusions of the extracted contour. A simple pre-processing method, also based on arc-length features, is presented to be used as a coarse fitting method to determine angle rotation and as a first filter to eliminate non pertinent candidates.

  • a –  Universitat Autónoma de Barcelona
  • b –  Université Nancy II
  • 1 :  Computer Vision Center (Centre de visio per computador) (CVC)
  • Universitat Autónoma de Barcelona
  • 2 :  QGAR (INRIA Lorraine - LORIA)
  • INRIA – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL) – CNRS : UMR7503
  • Domaine : Informatique/Traitement des images
  • Mots-clés : boundary shape – symbol recognition – shape matching
  • Commentaire : http://www.springer.com/lncs
 
  • inria-00142213, version 1
  • oai:hal.inria.fr:inria-00142213
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  • Soumis le : Mardi 17 Juillet 2007, 07:00:01
  • Dernière modification le : Lundi 20 Juin 2011, 14:44:27