DocumentCode :
479827
Title :
Research on Shape Similarity and Shape Matching
Author :
Liu, Bin ; Shangguan, Ning
Author_Institution :
Coll. of Mech. Eng. & Autom., Huaqiao Univ., Quanzhou
Volume :
1
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
1028
Lastpage :
1031
Abstract :
A triangular mesh model matching method by combination of principle component analysis (PCA) and ICP algorithm is presented. Firstly, two 3D models are initially located by using PCA method. Secondly, ICP algorithm is applied to do fine adjustment and calibration. Finally, quantitatively evaluate the similarity between two models by using difference sum of squares function. This kind of two-stage location and calibration method, not only makes all models under the same conditions of calibration, but also avoids happening the situation, which is caused by excessive displacement, that may lead to the failure of ICP calibration. In the end, we give some examples that estimate similarity of models by using the method in this paper.
Keywords :
calibration; image matching; principal component analysis; PCA; calibration method; principle component analysis; shape matching; shape similarity; triangular mesh model matching method; Algorithm design and analysis; Application software; Calibration; Computer industry; Educational technology; Humans; Internet; Iterative closest point algorithm; Principal component analysis; Shape; ICP Algorithm; matching; principle component analysis; similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.1208
Filename :
4721927
Link To Document :
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