[1] 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, 2015, 35(5): 0515003.

[2] Zhang X, Zhang A W, Wang Z H. Point cloud registration based on improved normal distribution transform algorithm［J］. Laser & Optoelectronics Progress, 2014, 51(4): 041002.

[3] Yang S J, Zhang K S, Shao Y S. Strip adjustment method for airborne lidar system［J］. Chinese Journal of Lasers, 2017, 44(12): 1210003.

[4] Wang Y. Registration of array laser three dimension imaging point cloud［D］. Changchun: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, 2016.

[5] Huang Z W, Liu F, Hu G W. Improved method for LiDAR point cloud data filtering based on hierarchical pseudo-grid［J］. Acta Optica Sinica, 2017, 37(8): 0828004.

[6] Wu M Q, Li Z W, Zhong K, et al. Adaptive point cloud registration method based on geometric features and photometric features［J］. Acta Optica Sinica, 2015, 35(2): 0215002.

[7] Besl P J,McKay N D. A method for registration of 3-D shapes［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.

[8] Chui H, Rangarajan A. A feature registration framework using mixture models［C］∥Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2000: 190-197.

[9] Jian B, Vemuri B C. Robust point set registration using Gaussian mixture models［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8): 1633-1645.

[10] Myronenko A, Song X. Point set registration: coherent point drift［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(12): 2262-2275.

[11] Campbell D, Petersson L. GOGMA: globally-optimal Gaussian mixture alignment［C］. Computer Vision and Pattern Recognition,2016: 5685-5694.

[12] Huang Y, Da F P, Tao H J. An automatic registration algorithm for point cloud based on feature extraction［J］. Chinese Journal of Lasers, 2015, 42(3): 0308002.

[13] 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, 2017, 54(11): 111503.

[14] Zeng F X, Li L, Diao X P. Iterative closest point algorithm registration based on curvature features［J］. Laser & Optoelectronics Progress, 2017, 54(1): 011003.

[15] Shu C X, He Y T, Sun Q K. Point cloud registration based on convolutional neural network［J］. Laser & Optoelectronics Progress, 2017, 54(3): 031001.

[16] Zhu Y J,Zhou L S, Zhang L Y. Registration of scattered cloud data［J］.Journal of Computer-Aided Design & Computer Graphics, 2006, 18(4): 475-481.

[17] Yang M, Lee E. Segmentation of measured point data using a parametric quadric surface approximation［J］. Computer-Aided Design, 1999, 31(7): 449-457.