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Geometric Feature Estimators for Noisy Discrete Surfaces

  • L. Provot
  • I. Debled-Rennesson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4992)

Abstract

We present in this paper robust geometric feature estimators on the border of a possibly noisy discrete object. We introduce the notion of patch centered at a point of this border. Thanks to a width parameter, attached to a patch, the noise on the border of the discrete object can be considered, and an extended flat neighborhood of a border point is computed. Stable geometric features are then extracted around this point. A normal vector estimator is proposed as well as a detector of convex and concave parts on the border of a discrete object.

Keywords

Normal Vector Patch Area Discrete Object Convex Part Discrete Surface 
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-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • L. Provot
    • 1
  • I. Debled-Rennesson
    • 1
  1. 1.LORIA NancyVandœuvre-lès-Nancy CedexFrance

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