[1] [1] Besl P J, McKay N D. A method for registration of 3D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.

[2] [2] Zhang Z. Iterative point matching for registration of free-form curves and surfaces[J]. International Journal of Computer Vision, 1994, 13(2): 119-152.

[3] [3] Li Jian, Wang Zongmin, Ma Yurong, et al.. Automatic and accurate mosaicking of point clouds from multi-station laser scanning[J]. Geomatics and Information Science of Wuhan University, 2014, 34(9): 1114-1120.

[4] [4] 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.

[5] [5] Weinmann M, Weinmann M, Hinz S, et al.. Fast and automatic image-based registration of TLS data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2011, 66(6): S62-S70.

[6] [6] Zhou Wei, Ma Xiaodan, Zhang Lijiao, et al.. Three-dimensional point cloud splicing of tree canopy based on multi-source camera[J]. Acta Optica Sinica, 2014, 34(12): 1215003.

[7] [7] Gelfand N, Mitra N J, Guibas L J, et al.. Robust global registration[C]. Symposium on Geometry Processing, 2005, 2(3): 5.

[8] [8] Rusu R B, Blodow N, Marton Z C, et al.. Aligning point cloud views using persistent feature histograms[C]. IEEE International Conference on Intelligent Robots and Systems, 2008: 3384-3391.

[9] [9] Huang Yuan, Da Feipeng, Tao Haiji, et al.. An automatic registration algorithm for point cloud based on feature extraction[J]. Chinese J Lasers, 2015, 42(3): 0308002.

[10] [10] Stamos I, Leordean M. Automated feature-based range registration of urban scenes of large scale[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003, 2: 555-561.

[11] [11] Zhang Xiao, Zhang Aiwu, Wang Zhihua. Point cloud registration based on improved normal distribution transform algorithm[J]. Laser & Optoelectronics Progress, 2014, 51(4): 041002.

[12] [12] Pu Shi, Li Jingwei, Guo Siqing. Registration of terrestrial laser point clouds by fusing semantic features and GPS positions[J]. Acta Geodaetica et Cartographica Sinica.2014,43(5):545-550.

[13] [13] Wei Shengbin, Wang Shaoqing, Zhou Changhe, 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.

[14] [14] Rusu R B, Marton Z C, Blodow N, et al.. Persistent point feature histograms for 3D point clouds[C]. Proc 10 th Int Conf Intel Autonomous Syst (IAS-10), Baden-Baden, Germany, 2008: 119-128.

[15] [15] Koehl P. Protein structure similarities[J]. Current Opinion in Structural Biology, 2001, 11(3): 348-353.

[16] [16] West K F, Webb B N, Lersch J R, et al.. Context-driven automated target detection in 3D data[C]. Defense and Security, International Society for Optics and Photonics, 2004: 133-143.