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Region-Based Representation for Object Recognition by Relaxation Labelling

  • Alireza Ahmadyfard
  • Josef Kittler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1876)

Abstract

We address the problem of object recognition in computer vision. We propose an invariant representation of the model and scene in the form of Attributed Relational Graph with focus on region based measurements rather than purely interest points. This approach enhances the stability of scene image representation in the presence of noise and significant scaling. Improved solution is achieved by employing a multiple region representation at each node of the ARG.The matching of scene and model ARGs is accomplished using probabilistic relaxation that has been modified to cope with multiple scene representation. The preliminary results obtained in experiments with real data are encouraging.

Keywords

Object Recognition Invariant Representation Computer Vision 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Alireza Ahmadyfard
    • 1
  • Josef Kittler
    • 1
  1. 1.Centre for Vision, Speech and Signal Processing, School of Electronic Engineering, Information Technology and MathematicsUniversity of SurreyGuildfordUK

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