Shape representation and matching of 3D objects for computer vision applications

  • Authors:

  • Yasser Ebrahim;Wegdan Abdelsalam;Maher Ahmed;Siu-Cheung Chau

  • Affiliations:

  • Dept. of Computing & Information Science, University of Guelph, Guelph, Ontario, Canada;Dept. of Computing & Information Science, University of Guelph, Guelph, Ontario, Canada;Dept. of Physics and Computer Science, Wilfrid Laurier University, Waterloo, Ontario, Canada;Dept. of Physics and Computer Science, Wilfrid Laurier University, Waterloo, Ontario, Canada

  • Venue:
  • SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
  • Year:
  • 2005

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Abstract

In this paper we present a novel approach to 3D shape representation and matching based on the combination of the Hilbert space filling curve and Wavelet analysis. Our objective is to introduce a robust technique that capitalizes on the localization-preserving nature of the Hilbert space filling curve and the approximation capabilities of the Wavelet transform. Our technique produces a concise 1D representation of the image that can be used to search an image database for a match. The technique exhibits robustness in cases of partial and occluded image matching. Our technique is translation, scale, and stretching invariant. It is also robust to rotation around the Y axis.