[1] Xu N L, Qin R J, Song S. Point cloud registration for LiDAR and photogrammetric data: a critical synthesis and performance analysis on classic and deep learning algorithms[J]. ISPRS Open Journal of Photogrammetry and Remote Sensing, 8, 100032(2023).

[2] Li J W, Zhan J W. Review on 3D point cloud registration method[J]. Journal of Image and Graphics, 27, 349-367(2022).

[3] Qin Q, Huang D Q, Yang Y X et al. Point cloud registration algorithm based on improved ICP[J]. Proceedings of SPIE, 12613, 1231312(2023).

[4] Jing L, Wu B, Fang X L. Point cloud registration method based on the SIFT feature points combined with ICP algorithm[J]. Laser & Infrared, 51, 944-950(2021).

[5] Li J Y, Hu Q W, Ai M Y. Point cloud registration based on one-point RANSAC and scale-annealing biweight estimation[J]. IEEE Transactions on Geoscience and Remote Sensing, 59, 9716-9729(2021).

[6] Zhang Z L, Dong Y M, Zhu J X et al. An improved ICP point cloud registration algorithm based on ISS-FPFH features[J]. Applied Laser, 43, 124-131(2023).

[7] Wang C Y, Li G R, Liu X L et al. 3D point cloud registration algorithm with IVCCS[J]. Infrared and Laser Engineering, 51, 20210491(2022).

[8] Li R B, Yuan X P, Gan S et al. Point cloud registration method based on dual quaternion description of line-planar feature constraints[J]. Acta Optica Sinica, 42, 0214003(2022).

[9] Li Q M, Ren J J, Pei X H et al. High-accuracy point cloud matching algorithm for weak-texture surface based on multi-modal data cooperation[J]. Acta Optica Sinica, 42, 0810001(2022).

[10] Yan X X, Jiang Z, Liu B. Cross-source point cloud registration algorithm based on angle constraint[J]. Laser & Optoelectronics Progress, 60, 2215004(2023).

[11] Chen Y, Wang Y, Li J L et al. An efficient point cloud registration algorithm based on principal component analysis[J]. Laser & Optoelectronics Progress, 60, 1428008(2023).

[12] Choi O, Hwang W. Colored point cloud registration by depth filtering[J]. Sensors, 21, 7023(2021).

[13] Wan T, Du S Y, Cui W T et al. RGB-D point cloud registration based on salient object detection[J]. IEEE Transactions on Neural Networks and Learning Systems, 33, 3547-3559(2022).

[14] Ren S Y, Chen X D, Cai H Y et al. Color point cloud registration algorithm based on hue[J]. Applied Sciences, 11, 5431(2021).

[15] Liu D S, Hong D Y, Wang S T et al. Genetic algorithm-based optimization for color point cloud registration[J]. Frontiers in Bioengineering and Biotechnology, 10, 923736(2022).

[16] Sang M T, Wang W, Pan Y N. RGB-ICP method to calculate ground three-dimensional deformation based on point cloud from airborne LiDAR[J]. Remote Sensing, 14, 4851(2022).

[17] Korn M, Holzkothen M, Pauli J. Color supported generalized-ICP[C], 592-599(2014).

[18] Park J, Zhou Q Y, Koltun V. Colored point cloud registration revisited[C], 143-152(2017).

[19] Xie Y B, Yao S Q, Xu N T et al. Optimization of color point cloud registration algorithm for 3D reconstruction[J]. Applied Laser, 42, 102-107(2022).

[20] Shi Z P, Zhang Y, Yang X W et al. Local feature description algorithm of point cloud based on shape and texture[J]. Computer Engineering and Design, 44, 822-828(2023).

[21] Magnusson M, Lilienthal A, Duckett T. Scan registration for autonomous mining vehicles using 3D-NDT: research articles[J]. Journal of Field Robotics, 24, 803-827(2007).

[22] Tao S J, Bai R L. Point cloud registration method based on key point optimization after downsampling[J]. Application Research of Computers, 38, 904-907(2021).

[23] Zhang H, Kang G H, Zhang Q et al. Laser point cloud coarse registration based on improved SAC-IA algorithm[J]. Aerospace Control, 37, 67-74(2019).

[24] Zhang Y, Li X Y, Han X. Three-dimensional point cloud registration method with low overlap rate[J]. Laser & Optoelectronics Progress, 58, 0810014(2021).

[25] Huang S Y, Gojcic Z, Usvyatsov M et al. PREDATOR: registration of 3D point clouds with low overlap[C], 4265-4274(2021).