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

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 6 >Page 061002 > Article

Laser & Optoelectronics Progress
Vol. 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、*

Author Affiliations

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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DOI: 10.3788/LOP57.061002 Cite this Article Set citation alerts

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 Copy Citation Text

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