• Laser & Optoelectronics Progress
  • Vol. 57, Issue 4, 041008 (2020)
Bin Zhang1 and Chuanbing Xiong2、*
Author Affiliations
  • 1School of Computer Science, Minnan Normal University, Zhangzhou, Fujian, 363000, China
  • 2School of Physics and Information Engineering, Minnan Normal University, Zhangzhou, Fujian, 363000, China
  • show less
    DOI: 10.3788/LOP57.041008 Cite this Article Set citation alerts
    Bin Zhang, Chuanbing Xiong. Automatic Point Cloud Registration Based on Voxel Downsampling and Key Point Extraction[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041008 Copy Citation Text show less
    References

    [1] 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).

    [2] Li R Z, Yang M, Liu Y Y et al. An uniform simplification algorithm for scattered point cloud[J]. Acta Optica Sinica, 37, 0710002(2017).

    [3] Chen X, He B W. A fast global registration algorithm based on correcting point cloud principal component coordinate system[J]. Laser & Optoelectronics Progress, 55, 061003(2018).

    [4] Liu M, Shu Q, Yang Y X et al. Three-dimensional point cloud registration based on independent component analysis[J]. Laser & Optoelectronics Progress, 56, 011203(2019).

    [5] Ma Z L, Zhou M Q, Geng G H et al. Automatic registration algorithm for scattered point clouds based on curvature feature[J]. Application Research of Computers, 32, 1878-1880, 1887(2015).

    [6] Li R Z, Yang M, Tian Y et al. Point cloud registration algorithm based on the ISS feature points combined with improved ICP algorithm[J]. Laser & Optoelectronics Progress, 54, 111503(2017).

    [7] Tao H J, Da F P. Automatic registration algorithm for the point clouds based on the normal vector[J]. Chinese Journal of Lasers, 40, 0809001(2013).

    [8] Johnson A E, Hebert M. Using spin images for efficient object recognition in cluttered 3D scenes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21, 433-449(1999).

    [9] Tombari F. Salti S, di Stefano L. Unique signatures of histograms for local surface description[M]. ∥Daniilidis K, Maragos P, Paragios N. Computer vision-ECCV 2010. Lecture notes in computer science. Berlin, Heidelberg: Springer, 6313, 356-369(2010).

    [10] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration. [C]∥2009 IEEE International Conference on Robotics and Automation, May 12-17, 2009, Kobe, Japan. New York: IEEE, 3212-3217(2009).

    [11] Díez Y, Roure F, Lladó X et al. A qualitative review on 3D coarse registration methods[J]. ACM Computing Surveys, 47, 45(2015).

    [12] Guo Y L, Sohel F A, Bennamoun M et al. RoPS: a local feature descriptor for 3D rigid objects based on rotational projection statistics. [C]∥2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA), February 12-14, 2013, Sharjah, United Arab Emirates. New York: IEEE, 13414856(2013).

    [13] Chen Q, Lü W, Fang B et al. LoVPE three-dimensional local feature descriptor[J]. Journal of Image and Graphics, 23, 1349-1358(2018).

    [14] Xiong F G, Huo W, Han X et al. Removal method of mismatching keypoints in 3D point cloud[J]. Acta Optica Sinica, 38, 0210003(2018).

    [15] Liu M J, Wang X D, Li L Y et al. Improved random sampling consistency algorithm employed in three-dimensional point cloud registration[J]. Laser & Optoelectronics Progress, 55, 101104(2018).

    [16] Rusu R B, Blodow N, Marton Z C et al. Aligning point cloud views using persistent feature histograms. [C]∥2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 22-26, 2008, Nice, France. New York: IEEE, 3384-3391(2008).

    Bin Zhang, Chuanbing Xiong. Automatic Point Cloud Registration Based on Voxel Downsampling and Key Point Extraction[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041008
    Download Citation