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Journal of Information Science and Engineering, Vol. 25 No. 1, pp. 289-301 (January 2009)

Shape Memorization and Recognition of 3D Objects Using a Similarity-Based Aspect-Graph Approach*

Jwu-Sheng Hu and Tzung-Min Su
Department of Electrical and Control Engineering
National Chiao Tung University
Hsinchu, 300 Taiwan

This work proposes an incremental combinational algorithm to generate the prototype of a 3D object using 2D images randomly sampled from a viewing sphere. Similarity- based aspect-graph, which contains a set of aspects and prototypes for these aspects, is employed to represent the database of 3D objects. Furthermore, the proposed algorithm is based on low-level features and similarity measures between the features. In this work, the Fourier descriptor and point-to-point lengths are adopted as features, and three similarity measures, called the 1-norm, 2-norm, and K-L distance, are adopted to extract characteristic views. The effectiveness of the proposed algorithm is demonstrated by experiments with an updating mechanism.

Keywords: aspect-graph, fourier descriptor, object recognition, shape memorization, similarity measure

Full Text () Retrieve PDF document (200901_16.pdf)

Received April 20, 2007; revised August 23, 2007 & March 3, 2008; accepted April 10, 2008.
Communicated by Jenq-Neng Hwang.
* This paper was presented on IEEE International Conference on Systems, Man and Cybernetics, October 8- 11th, 2006, Taipei, Taiwan.