[1] Ruijian Du, Baozhen Ge, Lei Chen. Texture mapping of multi-view high-resolution images and binocular 3D point clouds. Chinese Optics, 13, 1055-1064(2020).
[2] Yujing Qiao, Baoming Jia, Jingang. Jiang et al. Networking method of multi-view stereo-vision measurement network. Infrared and Laser Engineering, 49, 20190492(2020).
[3] P J Besl, N D Mckay. A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239-256(1992).
[4] Bin Wang, Lin Liu, Yuqing Hou, et al. Three-dimensional cardiac point registration by improved iterative closet point method. Optics and Precision Engineering, 28, 474-484(2020).
[5] Shuai Wang, Huayan Sun, Huichao Guo. Overlapping region extraction method for laser point clouds registration. Infrared and Laser Engineering, 46, S126002(2017).
[6] D Chetverikov, D Stepanov, P Krsek. Robust euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm. Image and Vision Computing, 23, 299-309(2005).
[7] Jinglan Dai, Zhiyang Chen, Xiuzi Ye. The application of ICP algorithm in point ploud alignment. Journal of Image and Graphics, 12, 517-521(2007).
[8] Ying Zhong, Meng Zhang. Automatic registration technology of point cloud based on improved ICP algorithm. Control Engineering of China, 21, 37-40(2014).
[9] Chao Zuo, Min Lu, Zhiguo Tan, et al. A novel algorithm for registration of point clouds. Chinese Journal of Lasers, 39, 1214004(2012).
[10] Jie Chen, Yong Cai, Jiansheng Zhang. Point cloud registration based on entropy criterion genetic algorithm. Application Research of Computers, 36, 316-320(2019).
[11] Ming Feng, Minglong Yang, Yonghua Xia, et al. 3D modeling of high-steep cliffs combining with 3D laser scanning and oblique photogrammetry. Science of Surveying and Mapping, 45, 99-107, 122(2020).
[12] Minglan Cao, Yadong Li, Haiying Feng, et al. 3D forest landscape modeling with the combination of oblique photography and laser scanner technique. Journal of Central South University of Forestry & Technology, 39, 10-15, 33(2019).
[13] M Magnusson, A Lilienthal, T Duckett. Scan registration for autonomous mining vehicles using 3D-NDT. Journal of Field Robotics, 24, 803-827(2010).
[14] Quanxian Han, Qing Zhu, Yulin Ding, et al. Precise registration of scattered cloud data based on the particle swarm optimization. Geomatices and Information Science of Wuhan University, 39, 1214-1220(2014).
[15] D Aiger, N J Mitra, D Cohen-Or. 4-points congruent sets for robust pairwise surface registration. ACM Transactions on Graphics, 27, 1-10(2008).
[16] Rusinkiewicz S, Levoy M. Efficient variants of the ICP algithm[C]Proceedings Third International Conference on 3D Digital Imaging Modeling, 2001: 145–152.
[17] Fuqun Zhao, Mingquan Zhou. Hierarchical point cloud denosing algorithm. Optics and Precision Engineering, 28, 1618-1625(2020).
[18] F Pomerleau, F Colas, R Siegwart, et al. Comparing ICP variants on real-world data sets. Autonomous Robots, 34, 133-148(2013).
[19] Wenpeng Zong, Guangyun Li, Minglei Li. A survey of laser scan matching methods. Chinese Optics, 11, 914-930(2018).
[20] Jiajing Wang, Xiaonan Wang, Shunyi Zheng, et al. Comparison and analysis of initial registration methods of 3D point cloud. Science of Surveying and Mapping, 43, 16-23(2018).
