Please use this identifier to cite or link to this item: https://doi.org/10.1145/604471.604530
Title: A 3D shape matching framework
Authors: Chang, E.C. 
HUANG ZHIYONG 
Kankanhalli, M.S. 
Xu, R. 
Issue Date: 2003
Citation: Chang, E.C., HUANG ZHIYONG, Kankanhalli, M.S., Xu, R. (2003). A 3D shape matching framework. Proceedings of the 1st International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia, GRAPHITE '03 : 269-270. ScholarBank@NUS Repository. https://doi.org/10.1145/604471.604530
Abstract: The research of 3D shape matching starts to get more attention recently. In this short paper, we present a 3D shape matching framework. First, we give a general definition of similarity value of two objects. Then, an algorithm is proposed consisting of Principal Component Analysis (PCA), voxelization, and iterative coarse-to-fine aligning of two objects using multi-resolution volume representation. This process will align two objects to have the maximum overlap. Then, we can compute the similarity value for shape matching. The experiment results show the effectiveness of our framework. Copyright © 2003 by the Association for Computing Machinery, Inc.
Source Title: Proceedings of the 1st International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia, GRAPHITE '03
URI: http://scholarbank.nus.edu.sg/handle/10635/40092
ISBN: 1581135785
DOI: 10.1145/604471.604530
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