[1] GUO Y. Three-dimensional reconstruction of aero-engine blade inspection [J]. Science and Technology Innovation Herald, 2020, 17(12): 52-53(in Chinese).

[2] CHI K H, CHEN M W, WU Y D, et al. Development of a two-line laser 3D scanning system based on the principle of double-triangle ranging [J]. Physics and Engineering, 2019, 29(6): 71-76(in Chinese).

[3] ZHOU Y, WANG H Ch, DU F R. Algorithm for point cloud construction of linear feature of aeroengine ruled blades [J]. Journal of Aerodynamics, 2014, 29(8): 1832-1837(in Chinese).

[4] MA B Y, TANG L, ZHAO J, et al. Linear feature detection and mosaic method of wind turbine blade images [J]. Journal of Harbin University of Science and Technology, 2020, 25(5): 83-92(in Ch-inese).

[5] SONG T, DAI Sh J, ZHOU G X, et al. Research on surface reconstruction of aeroengine blades [J]. Computer Simulation, 2018, 35(4): 33-37(in Chinese).

[6] ZHANG L N, ZHANG D H. Research on high-precision reconstruction method of blade leading edge[J]. Journal of Aerodynamics, 2006, 21(4): 722-726(in Chinese).

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

[8] LIU J F, HE X M, HUANG X, et al. Application of ICP algorithm in leaf point cloud data registration [J]. Aeronautical Manufacturing Technology, 2019, 62(12): 79-82(in Chinese).

[9] LIN X J, WU G, SHAN X F, et al. Improved ICP registration algorithm based on blade section line CMM measurement data [J]. Ch-inese Journal of Mechanical Engineering, 2020, 56(2): 1-8(in Ch-inese).

[10] SEGAL A, HAEHNEL D, THRUN S. Generalized-ICP[C]// Robotics: Science and Systems Foundation. Seattle, USA: IEEE, 2009: 1-21.

[11] SERAFIN J, GRISETTI G. NICP: Dense normal based point cloud registration[C]//2015 IEEE/RSJ International Conference on Inte-lligent Robots and Systems (IROS). Hamburg, Germany: IEEE, 2015: 742-749.

[12] CHEN S Q, ZHANG H Y, ZHAO Ch M, et al. Point cloud registration method based on improved particle swarm algorithm based on beetles [J]. Laser Technology, 2020, 44(6): 678-683(in Ch-inese).

[13] LIU Y Sh, CHEN X D, WU L, et al. Hybrid sparse iterative closest point registration [J]. Optical Precision Engineering, 2021, 29(9): 2255-2267(in Chinese).

[14] BOYD S, PARIKH N, CHU E, et al. Distributed optimization and statistical learning via the alternating direction method of multipliers[M]. New York, USA:IEEE, 2011: 1-123.

[15] PROKOP M, SHAIKH S A, KIM K. Low overlapping point cloud registration using line features detection[J]. Remote Sensing, 2019, 12(1): 61-81.

[16] DAI J L, CHEN Zh Y, YE X Z. Application of ICP algorithm in point cloud registration[J]. Journal of China Image and Graphics, 2007, 12(3): 517-521(in Chinese).

[17] SHI F Y, ZHANG Ch M, JIANG L H, et al. Optimization and verification of ICP algorithm using principal component analysis [J]. Lasers & Optoelectronics Progress, 2022, 59(16): 1611002 (in Chinese).

[18] ZHAO M F, HUANG Zh, SONG T, et al. A point cloud registration method fusion sampling consistency and iterative closest point algorithm[J]. Laser Journal, 2019, 40(10): 45-50(in Chinese).

[19] LU T D, YUAN Zh C, ZHENG K. Super 4PCS point cloud registration method combined with scale invariant features [J]. Remote Sensing Information, 2019, 34(5): 15-20(in Chinese).

[20] ULA S C, TEMELTA S H. 3D Multi-layered normal distribution transform for fast and long range scan matching[J]. Journal of Inte-lligent and Robotic Systems, 2013, 71(1): 85-108.