Point Cloud Registration Method Based on Eigenvalue Deviation Ratio

Zhao Dong; Jiang Hao; Wang Qing; Yu Yao; Qian Kun; He Jingkuan

doi:10.14128/j.cnki.al.20244406.177

APPLIED LASER, Volume. 44, Issue 6, 177(2024)

Point Cloud Registration Method Based on Eigenvalue Deviation Ratio

Zhao Dong^1,2, Jiang Hao², Wang Qing^1,2、*, Yu Yao^1,2, Qian Kun³, and He Jingkuan²

Author Affiliations

¹School of Electronics and Information Engineering, Wuxi University, Wuxi 214105, Jiangsu, China

²School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China

³School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, Jiangsu, China

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References(1)

[2] [2] BESL P J, MCKAY N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.

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Zhao Dong, Jiang Hao, Wang Qing, Yu Yao, Qian Kun, He Jingkuan. Point Cloud Registration Method Based on Eigenvalue Deviation Ratio[J]. APPLIED LASER, 2024, 44(6): 177

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Paper Information

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Received: Oct. 24, 2022

Accepted: Dec. 13, 2024

Published Online: Dec. 13, 2024

The Author Email: Qing Wang (qingw@cwxu.edu.cn)

DOI:10.14128/j.cnki.al.20244406.177

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology