Accurate Registration of 3D Point Clouds Based on Keypoint Extraction and Improved Iterative Closest Point Algorithm

Zhen Peng; Yuanjian Lü; Chao Qu; Dahu Zhu

doi:10.3788/LOP57.061002

Laser & Optoelectronics Progress, Volume. 57, Issue 6, 061002(2020)

Accurate Registration of 3D Point Clouds Based on Keypoint Extraction and Improved Iterative Closest Point Algorithm

Zhen Peng^1,2, Yuanjian Lü^1,2, Chao Qu^1,2, and Dahu Zhu^1,2、*

¹Hubei Key Laboratory of Advanced Automotive Components Technology, Wuhan University of Technology, Wuhan, Hubei 430070, China

²Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, Hubei 430070, China

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Zhen Peng, Yuanjian Lü, Chao Qu, Dahu Zhu. Accurate Registration of 3D Point Clouds Based on Keypoint Extraction and Improved Iterative Closest Point Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061002

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Paper Information

Category: Image Processing

Received: Jun. 17, 2019

Accepted: Aug. 20, 2019

Published Online: Mar. 6, 2020

The Author Email: Dahu Zhu (dhzhu@whut.edu.cn)

DOI:10.3788/LOP57.061002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology