Feature extraction method Based PCA and KICA

Liang, Sheng-jie; Zhang, Zhihua; Cui, Lilin

doi:10.1109/cinc.2010.5643821

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Improved Icp Algorithm1

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“…It is an analysis method of multivariate statistical which can reduce the dimension [10]. PCA is based on the correlation among variables, using the principle elements instead of original variables, which remain the character of original values [11].…”

Section: Improved Icp Algorithmmentioning

confidence: 99%

A Method for Spatial Data Registration Based on PCA-ICP Algorithm

Zhao

Bai

et al. 2013

AMR

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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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Section: Improved Icp Algorithmmentioning

confidence: 99%