APPLIED LASER, Volume. 43, Issue 11, 173(2023)

Point Cloud Registration Based on Improved Fast Point Feature Histogram and Double Iteration

Wang Qing1,2, Jiang Hao1, Zhao Dong1,2, Yu Yao1,2, Qian Kun3, Zhu Xuguang1, and Cao Jialu1
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(3)

    [1] [1] BESL P J, MCKAY N D. Method for registration of 3-D shapes[C]//Proc SPIE 1611, Sensor Fusion IV: Control Paradigms and Data Structures, 1992, 1611: 586-606.

    [9] [9] LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.

    [12] [12] XU G X, PANG Y J, BAI Z X, et al. A fast point clouds registration algorithm for laser scanners[J]. Applied Sciences, 2021, 11(8): 3426.

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    Wang Qing, Jiang Hao, Zhao Dong, Yu Yao, Qian Kun, Zhu Xuguang, Cao Jialu. Point Cloud Registration Based on Improved Fast Point Feature Histogram and Double Iteration[J]. APPLIED LASER, 2023, 43(11): 173

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    Paper Information

    Received: Jul. 12, 2022

    Accepted: --

    Published Online: May. 23, 2024

    The Author Email:

    DOI:10.14128/j.cnki.al.20234311.173

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