Optimization and Verification of Iterative Closest Point Algorithm Using Principal Component Analysis

Fengyuan Shi; Chunming Zhang; Lihui Jiang; Qi Zhou; Di Pan

doi:10.3788/LOP202259.2211001

Laser & Optoelectronics Progress, Volume. 59, Issue 22, 2211001(2022)

Optimization and Verification of Iterative Closest Point Algorithm Using Principal Component Analysis

Fengyuan Shi^1,2, Chunming Zhang^3、*, Lihui Jiang^1,2, Qi Zhou^1,2, and Di Pan^1,2

Author Affiliations

¹Shanghai Institute of Aerospace Control Technology, Shanghai 201109, China

²Shanghai Key Laboratory of Space Intelligent Control Technology, Shanghai 201109, China

³Shanghai Academy of Spaceflight Technology, Shanghai 201109, China

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Fengyuan Shi, Chunming Zhang, Lihui Jiang, Qi Zhou, Di Pan. Optimization and Verification of Iterative Closest Point Algorithm Using Principal Component Analysis[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2211001

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Paper Information

Category: Imaging Systems

Received: May. 19, 2021

Accepted: Jul. 7, 2021

Published Online: Oct. 12, 2022

The Author Email: Chunming Zhang (956934060@qq.com)

DOI:10.3788/LOP202259.2211001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology