• Arnaud Le Troter
  • Sebastien Mavromatis
  • Jean-Marc Boi
  • Jean Sequeira
Part of the Computational Imaging and Vision book series (CIVI, volume 32)


Landmarks are specific points that can be identified to provide efficient matching processes. Many works have been developed for detecting automatically such landmarks in images: our purpose is not to propose a new approach for such a detection but to validate the detected landmarks in a given context that is the 2D to 3D registration of soccer video sequences. The originality of our approach is that it globally takes into consideration the color and the spatial coherence of the field to provide such a validation. This process is a part of the SIMULFOOT project whose objective is the 3D reconstruction of the scene (players, referees, ball) and its animation as a support for cognitive studies and strategy analysis.


Video Sequence Color Space Spatial Coherence Soccer Game Landmark Detection 
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 2006

Authors and Affiliations

  • Arnaud Le Troter
    • 1
  • Sebastien Mavromatis
    • 1
  • Jean-Marc Boi
    • 1
  • Jean Sequeira
    • 1
  1. 1.LSIS Laboratory (UMR CNRS 6168) - LXAO groupUniversity of MarseillesFrance

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