Laser & Optoelectronics Progress, Volume. 57, Issue 20, 201102(2020)

Point Cloud Registration Method Based on Combination of Convolutional Neural Network and Improved Harris-SIFT

Changhua Li, Hao Shi, and Zhijie Li*
Author Affiliations
  • School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
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    References(17)

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    [4] Drost B, Ulrich M, Navab N et al. Model globally, match locally: efficient and robust 3D object recognition. [C]∥2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, San Francisco, CA, USA. New York: IEEE, 998-1005(2010).

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    [16] Wang G P, Duan M, Niu C Y et al. Stochastic gradient descent algorithm based on convolution neural network[J]. Computer Engineering and Design, 39, 441-445, 462(2018).

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    Changhua Li, Hao Shi, Zhijie Li. Point Cloud Registration Method Based on Combination of Convolutional Neural Network and Improved Harris-SIFT[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201102

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    Paper Information

    Category: Imaging Systems

    Received: Dec. 27, 2019

    Accepted: Feb. 25, 2020

    Published Online: Oct. 14, 2020

    The Author Email: Zhijie Li (lizhijie@xauat.edu.cn)

    DOI:10.3788/LOP57.201102

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