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
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