[1] [1] Huang Hangsen. The research on registration algorithm of 3D data［D］. Dalian: Dalian Maritime University, 2010.

[2] [2] Senin N, Colosimo B M, Pacella M. Point set augmentation through fitting for enhanced ICP registration of point clouds in multisensor coordinate metrology［J］. Robotics and Computer-Integrated Manufacturing, 2013, 29(1): 39-52.

[3] [3] Cheng Xiaojun, Jia Dongfeng, Cheng Xiaolong. Theory and technology of massive point cloud data processing［M］. Shanghai: Tongji University Press, 2014: 43-44.

[4] [4] Zhang Xuechang, Xi Juntong, Yan Junqi. Research on digital measurement technology based on point cloud data of complex surfaces［J］. Computer Integrated Manufacturing Systems, 2005, 11(5): 727-731.

[5] [5] Lei Yuzhen, Li Zhongwei, Zhong Kai, et al. Mismatching marked points correction method based on random sample consensus algorithm［J］. Acta Optica Sinica, 2013, 33(3): 0315002.

[6] [6] Luo Xianbo, Zhong Yuexian, Li Renju. Data registration in 3D scanning systems［J］. Journal of Tsinghua University (Science and Technology), 2004, 44(8): 1104-1106.

[7] [7] Ge Panpan, Chen Qiang, Gu Yihe. Algorithm of remote sensing image matching based on Harris corner and SURF feature［J］. Application Research of Computers, 2014, 31(7): 2205-2208.

[8] [8] Huang Yuan, Da Feipeng, Tao Haiji. An automatic registration algorithm for point cloud based on feature extraction［J］. Chinese J Lasers, 2015, 42(3): 0308002.

[9] [9] Mei Feng, Liu Jing, Li Chunpeng, et al. Improved RGB-D camera based indoor scene reconstruction［J］. Journal of Image and Graphics, 2015, 20(10): 1366-1373.

[10] [10] Wu Mengqi, Li Zhongwei, Zhong Kai, et al. Adaptive point cloud registration method based on geometric features and photometric features［J］. Acta Optica Sinica, 2015, 35(2): 0215002.

[11] [11] Yang R, Allen P K. Registering, integrating, and building CAD models from range data［C］. IEEE International Conference on Robotics and Automation, 1998, 4: 3115-3120.

[12] [12] Besl P J, Mckay N D. A method for registration of 3-D shapes［J］. IEEE Transactions on pattern analysis & machine intelligence, 1992, 14(2): 239-256.

[13] [13] Magnusson M. The three-dimensional normal-distributions transform - an efficient representation for registration, surface analysis, and loop detection［J］. Renewable Energy, 2009, 28(4): 655-663.

[14] [14] Park S Y, Subbarao M. An accurate and fast point-to-plane registration technique［J］. Pattern Recognition Letters, 2003, 24(16): 2967-2976.

[15] [15] Jian B, Vemuri B C. A robust algorithm for point set registration using mixture of Gaussians［C］. Tenth IEEE International Conference on Computer Vision, 2005: 1246-1251.

[16] [16] Jian B, Vemuri B C. Robust point set registration using Gaussian mixture models［J］. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2011, 33(8): 1633-1645.

[17] [17] Myronenko A, Song X. Point set registration: coherent point drift［J］. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2010, 32(12): 2262-2275.

[18] [18] Zhong Y. Intrinsic shape signatures: a shape descriptor for 3D object recognition［C］. IEEE International Conference on Computer Vision Workshops, 2009: 689-696.

[19] [19] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration［C］. IEEE International Conference on Robotics and Automation, 2009: 3212-3217.