DocumentCode :
2458121
Title :
An Improved ICP Algorithm for Point Cloud Registration
Author :
Xin, Wei ; Pu, Jiexin
Author_Institution :
Electron. Inf. Eng. Coll., Henan Univ. of Sci. & Technol., Luoyang, China
fYear :
2010
fDate :
17-19 Dec. 2010
Firstpage :
565
Lastpage :
568
Abstract :
Speed and accuracy of point cloud registration are priorities in research. After finding points by close point criterion, we use the nearest criterion to remove point pairs which contain same points. This paper proposes an improved iteration close point algorithm that uses matching points´ center of gravity as reference points and point pair distance constraint to reject false point pairs for point cloud registration. We compared this improved algorithm with another method which uses point cloud center of gravity as reference point pair and iteration close point algorithm. Experimental results show that the registration rate, accuracy and convergence rate of the algorithm which we proposed are all improved.
Keywords :
image registration; iterative methods; pattern matching; ICP algorithm; accuracy rate; convergence rate; iterative closest point algorithm; matching point; point cloud registration; point pair distance constraint; registration rate; Accuracy; Convergence; Gravity; Iterative closest point algorithm; Mean square error methods; Noise; Three dimensional displays; iterative closest point algorithm; point cloud registration; point pair constraint; point pair distance constraint; reference point pair;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
Type :
conf
DOI :
10.1109/ICCIS.2010.144
Filename :
5709064
Link To Document :
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