[1]HE Yulan,GU Renshu,YUAN Jie.A 3D motion vector algorithm in a free angle system[J].CAAI Transactions on Intelligent Systems,2012,7(2):115-120.
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A 3D motion vector algorithm in a free angle system

References:
[1]PAPADIMITRIOU T, STRINTZIS M G, ROUMELIOTIS M. Robust estimation of rigid body 3D motion parameters based on point correspondences[J]. IEEE Trans on Circuits and Systems for Video Technology, 2000, 10(4): 541549.
[2]WENG J, HUANG T S, AHUJA N. Motion and structure from two perspective views: algorithms, error analysis, and error estimation[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1989, 11(5): 451476.
[3]HARTLEY R. In defense of the 8point algorithm[C]//IEEE International Conference on Computer Vision. Cambridge, USA, 1995: 10641070.
[4]EBRAHIMNEZHAD H, ROBUST H G. Motion from space curves and 3D reconstruction from multiviews using perpendicular double stereo rigs[J]. Image and Vision Computing, 2008, 26(10): 13971420. 
[5]MONTIEL J M M, TARDOHS J D, MONTANO L. Structure and motion from straight line segments[J]. Pattern Recognition, 2000, 33(8): 12951307.
[6]STEINBACH E G, EISERT P, GIROD B. Modelbased 3D shape and motion estimation using sliding textures[C]//Proc Vision Modeling and Visualization Conference. Berlin, Germany, 2001: 375382.
[7]NEUMANN J, FERMULLER C, ALOIMONOS Y. Polydioptric camera design and 3D motion estimation[C]//Proc IEEE Conf Computer Vision and Pattern Recognition. Madison, USA, 2003: 294301.
[8]ROACH J W, AGGARWAL J K. Determining the movement of objects from a sequence of images[J]. IEEE Trans on Pattern Anal and Machine Intell, 1980, 7(4): 554562.
[9]OLIENSISA J. Multiframe structure from motion algorithm under perspective projection[J]. International Journal of Computer Vision, 1999, 34(2): 163192.
[10]付永庆,宋宝森,吴建芳.边缘分类SIFT算法[J]. 哈尔滨工程大学学报, 2010, 31(5): 163171.
FU Yongqing, SONG Baosen, WU Jianfang. Edge classification of the SIFT alogorithm[J]. Journal of Harbin Engineering University, 2010, 31(5): 163171.
[11]SAND P, TELLER S. Particle video: longrange motion estimation using point trajectories[J]. International Journal of Computer Vision, 2008, 80(1): 7291.
[12]MATEI B, MEER P. A general method for errorsinvariables problems in computer vision[C]//Proc IEEE Conf Computer Vision and Pattern Recognition. Hilton Head, USA, 2000: 1825.
[13]FIROOZFAM P, NEGAHDARIPOUR S. Theoretical accuracy analysis of nocular vision systems for scene reconstruction, motion estimation, and positioning problems in computer vision[C]//Proc 2nd Int Symposium on 3D Data Processing, Visualization, and Transmission. Washington, DC, USA, 2004: 88895.
[14]SHEIKH Y, HAKEEM A, SHAH M. On the direct estimation of the fundamental matrix[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Minnesota, USA, 2007: 17.
[15]CHEN P. Why not use the LevenbergMarquardt method for fundamental matrix estimation[J]. IET Computer Vision, 2010, 4(4): 286294.
[16]WU H H P, CHANG S H. Fundamental matrix of planar catadioptric stereo systems[J]. IET Computer Vision, 2010, 4(2): 85104.
[17]SZELISKI R. Computer vision: algorithms and applications[M]. Berlin: SpringerVerlag, 2010: 343374.
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