[1] LIANG B， DU X D， LI CH， et al.. Advances in space robot on-orbit servicing for non-cooperative spacecraft ［J］. Robot， 2012， 34(2): 242-256. (in Chinese)

[2] XU W F， LIU Y， LIANG B， et al.. Measurement of relative poses between two non-cooperative spacecrafts ［J］. Opt. Precision Eng.， 2009， 17(7): 1570-1581. (in Chinese)

[3] MIAO X K， ZHU F， DIGN Q H， et al.. Monocular vision pose measurement based on docking ring component ［J］. Acta Optica Sinica， 2013， 33(4): 0412006. (in Chinese)

[4] LIANG B， HE Y， ZOU Y， et al.. Application of Time-of-Flight camera for relative measurement of non-cooperative target in close range ［J］. Journal of Astronautics， 2016， 37(9): 1080-1088. (in Chinese)

[5] WOODS J O， CHRISTIAN J A. Lidar-based relative navigation with respect to non-cooperative objects ［J］. Acta Astronautica， 2016， 126: 298-311.

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

[7] WANG X， ZHANG M M， YU X， et al.. Point cloud registration based on improved iterative closest point method ［J］. Opt. Precision Eng.， 2012， 20(9): 2068-2077. (in Chinese)

[8] ALDOMA A， MARTON Z C， TOMBARI F， et al.. Tutorial: point cloud library: three-dimensional object recognition and 6 dof pose estimation ［J］. IEEE Robotics & Automation Magazine， 2012， 19(3): 80-91.

[9] RHODES A， KIM E， CHRISTIAN J A， et al.. LIDAR-based relative navigation of non-cooperative objects using point cloud descriptors ［C］. AIAA/AAS Astrodynamics Specialist Conference， AIAA， 2016.

[10] JOHNSON A E， HEBERT M. Using spin images for efficient object recognition in cluttered 3D scenes ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence， 1999， 21(5): 433-449.

[11] RUSU R B， BLODOW N， BEETZ M. Fast point feature histograms (FPFH) for 3D registration ［C］. IEEE International Conference on Robotics and Automation， IEEE， 2009.

[12] SALTI S， TOMBARI F， STEFANO L D. SHOT: Unique signatures of histograms for surface and texture description ［J］. Computer Vision and Image Understanding， 2014， 125: 251-264.

[13] TOMBARI F， SALTI S， STEFANO L D. Unique shape context for 3D data description ［C］. Proceedings of the ACM Workshop on 3D Object Retrieval， ACM， 2010.

[14] GUO Y L， SOHEL F， BENNAMOUN M， et al.. Rotational projection statistics for 3D local surface description and object recognition ［J］. International Journal of Computer Vision， 2013， 105(1): 63-86.

[15] GUO Y L， BENNAMOUN M， SOHEL F， et al.. A comprehensive performance evaluation of 3D local feature descriptors ［J］. International Journal of Computer Vision， 2016， 116(1): 66-89.

[16] GARCIA-GARCIA A， ORTS-ESCOLANO S， GARCIA-RODRIGUEZ J， et al.. Interactive 3D object recognition pipeline on mobile GPGPU computing platforms using low-cost RGB-D sensors ［J］. Journal of Real-Time Image Processing， 2016: 1-20.

[17] YANG J Q， ZHANG Q， XIAO Y， et al.. TOLDI: An effective and robust approach for 3D local shape description ［J］. Pattern Recognition， 2017， 65: 175-187.

[18] GUO Y L， WAN J W， LU M， et al.. Three dimensional orientation estimation for ladar target ［J］. Opt. Precision Eng.， 2012， 20(4): 843-850. (in Chinese)

[19] HEIKKIL M， PIETIKINEN M， SCHMID C. Description of interest regions with center-symmetric local binary patterns ［C］. Computer Vision， Graphics and Image Processing， Indian Conference， ICVGIP， 2006.

[20] SCHNITZER F， JANSCHEK K， WILLICH G. Experimental results for image-based geometrical reconstruction for spacecraft rendezvous navigation with unknown and uncooperative target spacecraft ［C］. IEEE International Conference on Intelligent Robots and Systems， IEEE， 2012， 5040-5045.

[21] SHENY H， LI ZH J， YANG CH， et al.. Point cloud registration with normal feature histogram ［J］. Opt. Precision Eng.， 2015， 23(10Z): 591-598. (in Chinese)

[22] SEGAL A V， HAEHNEL D， THRUN S. Generalized-ICP ［C］. Proceedings of Robotics: Science and Systems， 2009.

[23] KATZ S， TAL A， BASRI R. Direct visibility of point sets ［J］. ACM Transactions on Graphics， 2007， 26(3): 1276377-1276407.

[24] RUSU R B， COUSINS S. 3D is here: Point Cloud Library (PCL) ［C］. IEEE International Conference on Robotics and Automation， IEEE， 2011.