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Finding surface correspondence for object recognition and registration using pairwise geometric histograms

  • A. P. Ashbrook
  • R. B. Fisher
  • C. Robertson
  • N. Werghi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1407)

Abstract

Pairwise geometric histograms have been demonstrated as an effective descriptor of arbitrary 2-dimensional shape which enable robust and efficient object recognition in complex scenes. In this paper we describe how the approach can be extended to allow the representation and classification of arbitrary 2 1/2- and 3-dimensional surface shape. This novel representation can be used in important vision tasks such as the recognition of objects with complex free-form surfaces and the registration of surfaces for building 3-dimensional models from multiple views. We apply this new representation to both of these tasks and present some promising results.

Keywords

Object Recognition Interest Point Triangular Mesh Iterate Close Point Surface Data 
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 1998

Authors and Affiliations

  • A. P. Ashbrook
    • 1
  • R. B. Fisher
    • 1
  • C. Robertson
    • 1
  • N. Werghi
    • 1
  1. 1.Department of Artificial IntelligenceThe University of EdinburghEdinburgh

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