主成分分析
迭代最近点
算法
计算机科学
迭代法
人工智能
模式识别(心理学)
点云
作者
Shuai He,Shi Ting Zhao,Fan Bai,Wei Jia
出处
期刊:Advanced Materials Research
日期:2013-07-01
卷期号:718-720: 1033-1036
被引量:8
标识
DOI:10.4028/www.scientific.net/amr.718-720.1033
摘要
The spatial data which acquired by 3D laser scanning is huge, aiming at the iteration time is long with classic ICP algorithm, a improved registration algorithm of spatial data ICP algorithm which based on principal component analysis (PCA) is proposed in this paper (PCA-ICP), the basic principle and steps of PCA-ICP algorithm are given. The experiment results show that this method is feasible and the iterative time of PCA-ICP algorithm is shorter than classical ICP algorithm.
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