A scale invariant surface curvature estimator

  • Authors:
  • John Rugis;Reinhard Klette

  • Affiliations:
  • CITR, Dep. of Computer Science, The University of Auckland, Auckland, New Zealand;CITR, Dep. of Computer Science, The University of Auckland, Auckland, New Zealand

  • Venue:
  • PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
  • Year:
  • 2006

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Abstract

In this paper we introduce a new scale invariant curvature measure, similarity curvature. We define a similarity curvature space which consists of the set of all possible similarity curvature values. An estimator for the similarity curvature of digital surface points is developed. Experiments and results applying similarity curvature to synthetic data are also presented.