Laser & Optoelectronics Progress, Volume. 60, Issue 2, 0228008(2023)

Lidar Target Point Cloud Alignment Based on Improved Neighborhood Curvature with Iteration Closest Point Algorithm

Yanhong Li1,2、*, Jianguo Yan2, and Xiaoyan Wang3
Author Affiliations
  • 1School of Physics & Electronic Engineering, Xianyang Normal University, Xianyang 712000, Shaanxi, China
  • 2School of Automation, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China
  • 3School of Electrical and Mechanical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China
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    References(15)

    [1] Huang C H, Jhang S J, Tsai C Y. An efficient RGB-D camera based point cloud registration algorithm[C], 558-561(2017).

    [2] Zhao D Y, Li M, Wei Q Y et al. Position measurement of the hole group based on point cloud registration algorithm[C], 19-23(2019).

    [3] Kang G H, Zhang Q, Wu J Q et al. Pose estimation of a non-cooperative spacecraft without the detection and recognition of point cloud features[J]. Acta Astronautica, 179, 569-580(2021).

    [4] Ma G Q, Liu L, Yu Z L et al. Application and development of three-dimensional profile measurement for large and complex surface[J]. Chinese Optics, 12, 214-228(2019).

    [5] Konoplin A Y, Konoplin N Y, Shuvalov B V. Technology for implementation of manipulation operations with different underwater objects by AUV[C](2019).

    [6] Zhong Y. Intrinsic shape signatures: a shape descriptor for 3D object recognition[C], 689-696(2009).

    [7] Long L J, Xia Y H, Huang D. Fast modeling method for substation based on 3D laser scanning point cloud data[J]. Laser & Optoelectronics Progress, 57, 202801(2020).

    [8] Wei S B, Wang S Q, Zhou C H et al. An iterative closest point algorithm based on biunique correspondence of point clouds for 3D reconstruction[J]. Acta Optica Sinica, 35, 0515003(2015).

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

    [10] Dai J L, Chen Z Y, Ye X Z. The application of ICP algorithm in point cloud alignment[J]. Journal of Image and Graphics, 12, 517-521(2007).

    [11] Zhong Y, Zhang M. Automatic registration technology of point cloud based on improved ICP algorithm[J]. Control Engineering of China, 21, 37-40(2014).

    [12] Wang S, Sun H Y, Guo H C. Overlapping region extraction method for laser point clouds registration[J]. Infrared and Laser Engineering, 46, 143-148(2017).

    [13] Yang W, Zhou M Q, Guo B et al. Skull point cloud registration method based on curvature maps[J]. Acta Optica Sinica, 40, 1610002(2020).

    [14] Yin J Q, Wang S Y, Li F M. Division-of-focal-plane polarization image denoising algorithm based on improved principal component analysis[J]. Acta Optica Sinica, 41, 0710002(2021).

    [15] Zhao L, Hu J, Liu H et al. Deep learning based on semantic segmentation for three-dimensional object detection from point clouds[J]. Chinese Journal of Lasers, 48, 1710004(2021).

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    Yanhong Li, Jianguo Yan, Xiaoyan Wang. Lidar Target Point Cloud Alignment Based on Improved Neighborhood Curvature with Iteration Closest Point Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0228008

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Sep. 14, 2021

    Accepted: Dec. 13, 2021

    Published Online: Jan. 6, 2023

    The Author Email: Yanhong Li (33241318@qq.com)

    DOI:10.3788/LOP212521

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