[1] [1] JI H, WU Y H, SUN H H, et al.. SIFT feature matching algorithm with global information［J］. Opt. Precision Eng., 2009, 17(2): 439-444. (in Chinese)

[2] [2] XIE Y L, LI X F, LV J W. Underwater images real-time registration method based on SURF ［J］. Journal of Computer-Aided Design & Computer Graphics, 2010, 22(12): 2215-2220. (in Chinese)

[3] [3] PAULY M, MITRA N J, GIESEN J. et al.. Example-based 3D Scan Completion ［C］. Proceedings of the third Euro graphics Symposium on Geometry Processing, Aire-la-Ville, Switzerland: SGP, 2005: 23-32.

[4] [4] PAUL J B, NEIL D M. A method for registration of 3-D shapes［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.

[5] [5] BIN L, HANCOCK E R. Structural graph matching using the EM algorithm and singular value decomposition ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(10): 1120-1136.

[6] [6] CHUI H, RANGARAJAN A. A feature registration framework using mixture models ［C］. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, South Carolina, US, 2000: 190-197.

[7] [7] REVOW M, MILLIAMS C K I, HINTON G E. Using generative models for handwritten digit recognition ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996, 18(6): 592-606.

[8] [8] HAILI C, ANAND R. A new point matching algorithm for non-rigid registration［J］. Computer Vision and Image Understanding, 2003, 89(2-3): 114-141.

[9] [9] BING J, BABA C V. A robust algorithm for point set registration using mixture of gaussians ［C］. Proceedings of the Tenth IEEE International Conference on Computer Vision, Beijing, China, 2005: 1246-1251.

[10] [10] DEMPSTER A. Maximum likelihood from incomplete data via the EM algorithm ［J］. Journal of the Royal Statistical Society, 1977, 39(1): 1-38.

[11] [11] MYRONENKO A, SONG X B. Point set registration: coherent point drift ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(12): 2262-2275.

[12] [12] NIE H B, HOU Q M, ZHAO M, et al.. IR/ visible image registration based on EM iteration of log -likelihood function［J］. Opt. Precision Eng., 2011, 19(3): 657-663. (in Chinese)

[13] [13] MYRONENKO A, SONG X B, MIGUEL A. Non-rigid point set registration: coherent point drift ［C］. Twenty-First Annual Conference on Neural Information Processing Systems, Hyatt Regency Vancouver, Canada, NIPS 2007: 1009-1016.

[14] [14] WANG P, WANG P, QU Z G, et al.. A refined Coherent Point Drift (CPD) algorithm for point set registration［J］. Science China, 2011, 54(12): 2659-2666.

[15] [15] GEOFFREY M, DAVID P. Robust cluster analysis via mixtures of multivariate t-distributions ［J］. Advances in Pattern Recognition, 1998, 1451: 658-666.

[16] [16] DAVID P, GEOFFREY M. Robust mixture modeling using the t-distribution［J］. Statistics and Computing, 2000, 10(4): 339-348.

[17] [17] DEMETRIOS G, CHRISTOPHOROS N, ARISTIDIS L. The mixtures of student’s t-distributions as a robust framework for rigid registration ［J］. Image and Vision Computing, 2009, 27(9): 1285-1294.

[18] [18] WANG H X, ZHANG Q B, LUO B, et al.. Robust mixture modeling using multivariate T-distribution with missing information ［J］. Pattern Recognition Letters, 2004, 25(6): 701-710.

[19] [19] ZHE C, SIMON H. On different facets of regularization theory ［J］. Neural Computation, 2002, 14(12): 2791-2846.

[20] [20] GIROSI F, JONES M, POGGIO T. Regularization theory and neural networks architectures ［J］. Neural Computation, 1995, 7(2): 219-269.