[1] JOEL A, STERGIOS I. A direct least-squares(dls) solution for PnP[C]. Proceedings of the IEEE International Conference on Computer Vision, 2011: 383-390.
[3] VINCENT L, FRANCESC M N, PASCAL F. EPnP: an accurate non-iterative O(n) solution to the PnP problem [J].International J. Computer Vision, 2009, 81(2): 155-166.
[4] CUI N G, WANG P, GUO J F, et al.. A review of on-orbit servicing [J]. Journal of Astronautics, 2007, 28(4): 805-811.(in Chinese)
[5] MIRAVET C, PASCUAL L, KROUCH E, et al.. An image-based sensor system for autonomous rendez-vous with uncooperative satellites [J].Eprint Arxiv, 2008.
[6] TERUI F, KAMIMURA H, NISHIDA S. Motion estimation to a failed satellite on orbit using stereo vision and 3D model matching [C].9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV ′06, 2006: 1-8.
[7] CHIEN C H. Target acquisition using natural feature image recognition [C]. Aerospace Conference, IEEE, 2009: 1-7.
[9] MIAO X K, ZHU F, DING Q H. Monocular vision pose measurement based on Docking ring component [J]. Acta Optica Sinica, 2013, 33(4): 0412006.(in Chinese)
[10] CHAUDHURI D. A simple least squares method for fitting of ellipses and circles depends on border points of a two-tone image and their 3-D extensions [J]. Pattern Recognition Letters, 2010, 31(9): 818-829.
[11] FITZGIBBON A, PILU M, FISHER R B. Direct least square fitting of ellipses [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 21(5): 476-480.
[12] CABRERA J, MEER P. Unbiased estimation of ellipses by bootstrapping [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996, 18(7): 752-756.
[13] DUDA R O, HART P E. Pattern Classification and Scene Analysis [M]. New York: Wiley Publishers, 1973.
[14] CHIA A, LEUNG M, ENG H L, et al.. Ellipse detection with Hough transform in one dimensional parametric space [C].Proceedings of IEEE International Conference on Image Processing, 2007, 5: 333-336.
[15] CHENG Z G, LIU Y C. Efficient technique for ellipse detection using restricted randomized Hough transform [C]. Proceedings of the International Conference on Information Technology, 2004: 714-718.
[16] MAI F, HUNG Y, ZHONG H, et al.. A hierarchical approach for fast and robust ellipse extraction [J]. Pattern Recognition, 2008, 41(8): 2512-2524.
[17] CHIA A S, RAHARDJA S, RAJAN D, et al. A split and merge based ellipse detector with self-correcting capability [J]. IEEE Trans. Image Process, 2011, 20(7): 1991-2006.
[18] PRASAD D K, LEUNG M K, CHO S Y. Edge curvature and convexity based ellipse detection method [J]. Pattern Recognition, 2012 45(9): 3204-3221.
[19] LAM L, LEE S W. Thinning methodologies-a comprehensive survey [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(9): 869-885.
[20] SHIU Y C, AHMAD S. 3D location of circular and spherical features by monocular model-based vision [C].Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. 1989: 576-581.
[21] MCLAUGHLIN R A. Randomized hough transform: improved ellipse detection with comparison [J]. Pattern Recognition Letter, 1998, 19(3): 299-305.