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A View-Based 3D Object Shape Representation Technique

  • Yasser Ebrahim
  • Maher Ahmed
  • Siu-Cheung Chau
  • Wegdan Abdelsalam
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4633)

Abstract

In this paper we present a novel approach to 3D shape representation and matching utilizing a set of shape representations for 2D views of the object. The proposed technique capitalizes on the localization-preserving nature of the Hilbert space filling curve and the approximation capabilities of the Wavelet transform. Each 2D view of the object is represented by a concise 1D representation that can be used to search an image database for a match. The shape of the 3D image is represented by the set of 1D representations of its 2D views. Experimental results, on a subset of the Amsterdam Library of Object Images (ALOI) dataset, are provided.

Keywords

Retrieval Rate Hilbert Curve Vertical Rotation Reeb Graph Symmetry Descriptor 
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 2007

Authors and Affiliations

  • Yasser Ebrahim
    • 1
  • Maher Ahmed
    • 1
  • Siu-Cheung Chau
    • 1
  • Wegdan Abdelsalam
    • 2
  1. 1.Wilfrid Laurier University, Waterloo ON N2L 3C5Canada
  2. 2.University of Guelph, Guelph ON N1G 2W1Canada

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