APPLIED LASER, Volume. 43, Issue 7, 116(2023)

Research on Three-Dimensional Reconstruction Method of Large Heterogeneous Workpieces Based on Point Cloud Registration

Liu Jianchun1,2, Chen Ningyi1, Yan Yixuan1, and Ye Zhongzhao1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(4)

    [3] [3] LI Y J, MENG C, LIU D, et al. Visual marker localization in robot-assisted stereotactic neurosurgery[C]//2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM). Qingdao, China: IEEE, 2011: 24-29.

    [8] [8] FRIDOVICH-KEIL D, NELSON E, ZAKHOR A. AtomMap: A probabilistic amorphous 3D map representation for robotics and surface reconstruction[C]//2017 IEEE International Conference on Robotics and Automation (ICRA). Singapore: IEEE, 2017: 3110-3117.

    [10] [10] REN Y J, YIN S B, ZHU J G, et al. Calibration technology for robotic laser scanning system[J]. Guangdianzi Jiguang/Journal of Optoelectronics Laser, 2014, 25(12):2336-2342.

    [11] [11] RUSU R B, BLODOW N, BEETZ M. Fast point feature histograms (FPFH) for 3D registration[C]//2009 IEEE International Conference on Robotics and Automation. Kobe, Japan: IEEE, 2009: 3212-3217.

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    Liu Jianchun, Chen Ningyi, Yan Yixuan, Ye Zhongzhao. Research on Three-Dimensional Reconstruction Method of Large Heterogeneous Workpieces Based on Point Cloud Registration[J]. APPLIED LASER, 2023, 43(7): 116

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    Paper Information

    Received: Apr. 28, 2022

    Accepted: --

    Published Online: May. 23, 2024

    The Author Email:

    DOI:10.14128/j.cnki.al.20234307.116

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