Automated trimmed iterative closest point algorithm

  • Authors:
  • R. Synave;P. Desbarats;S. Gueorguieva

  • Affiliations:
  • LaBRI, UMR, CNRS, Université Bordeaux 1;LaBRI, UMR, CNRS, Université Bordeaux 1;LaBRI, UMR, CNRS, Université Bordeaux 1

  • Venue:
  • ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
  • Year:
  • 2007

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Abstract

A novel method for automatic registration based on Iterative Closest Point (ICP) approach is proposed. This method uses geometric bounding containers to evaluate the optimum overlap rate of the data and model point sets.