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An accelerated ICP registration algorithm for 3D point cloud data
Author(s): Jingan Meng; Jinlong Li; Xiaorong Gao
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Paper Abstract

In optical non-contact three-dimensional measurement, the reconstruction of complex objects requires the registration of multiple sets of measurement data. The Standard Iterative Closet Point(ICP) algorithm is a classical mathematical method for point cloud data registration in 3D laser scanning data processing. In order to improve the efficiency of registration, based on the ICP algorithm, a combination of kd-tree and extrapolation is used. The advantage of the improved registration algorithm becomes more obvious as the amount of point cloud is getting greater. Experimental results show that the running time of ICP algorithm is much larger (dozens of times) than that of the improved one, and the proposed algorithm has the advantages of fast speed and high accuracy.

Paper Details

Date Published: 18 January 2019
PDF: 6 pages
Proc. SPIE 10839, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 1083904 (18 January 2019); doi: 10.1117/12.2504772
Show Author Affiliations
Jingan Meng, Southwest Jiaotong Univ. (China)
Jinlong Li, Southwest Jiaotong Univ. (China)
Xiaorong Gao, Southwest Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 10839:
9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment
Fan Wu; Yudong Zhang; Xiaoliang Ma; Xiong Li; Bin Fan, Editor(s)

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