R. M. Haralick, C. Lee, K. Ottenberg, M. No, È. Fischler et al., Computer Vision and Pattern Recognition ªRandom Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography [3] W. Fo Èrstner, ªReliability Analysis of Parameter Estimation in Linear Models with Applications to Mensuration Problems in Computer Vision,º Computer Vision, Graphics and Image Processing [7] D. Lowe, ªFitting Parameterized Three-Dimensional Models to Images, ªAnalysis and Solutions of the Three Point Perspective Pose Estimation Problem,º Proc. IEEE Conf ªSpace Resection: Failure Cases,º Photogrammetric Record 201±204, 1966. [6] B.P. Wrobel, ªMinimum Solutions for Orientation,º Proc. IEEE Workshop Calibration and Orientation Cameras in Computer Vision ªA General Phogrammetric Solution for the Determining Object Position and Orientation. [9] D. Dementhon and L.S. Davis, ªModel-Based Object Pose in 25 Lines of Code,º Int'l J. Computer Vision, pp.381-395, 1980.

I. E. Sutherland, ªThree-Dimensional Input by Tablet, Proc. IEEE, pp.453-461, 1974.
DOI : 10.1109/proc.1974.9449

S. Ganapathy, ªDecomposition of Transformation Matrices for Robot Vision, Proc. IEEE Conf. Robotics and Automation, pp.130-139, 1984.

O. D. Faugeras and G. Toscani, ªCamera Calibration for 3D Computer Vision, Proc. Int'l Workshop Machine Vision and Machine Intelligence, 1987.

R. K. Lenz and R. Y. , Tsai ªTechniques for Calibration of the Scale Factor and Image Center for High Accuracy 3D Machine Vision Metrology, Proc. IEEE Int'l Conf. Robotics and Automation, pp.68-75, 1987.

M. Dhome, M. Richetin, J. T. Lapreste, Â. , and G. , Rives, ªDetermination of the Attitude of 3D Objects from Single Perspective View, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.11, issue.12 1, pp.265-1278, 1989.

H. H. Chen, ªPose Determination from Line-to-Plane Correspondence: Existence Condition and Closed-Form Solutions, Proc. Third Int'l Conf. Computer Vision, pp.374-378, 1990.
DOI : 10.1109/iccv.1990.139554

D. G. Lowe, Perceptual Organization and Visual Recognition, p.1885
DOI : 10.1007/978-1-4613-2551-2
URL : http://www.dtic.mil/get-tr-doc/pdf?AD=ADA150826

]. Y. Liu, T. S. Huang, and O. D. , Determination of camera location from 2-D to 3-D line and point correspondences, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.1, pp.28-37, 1990.
DOI : 10.1109/34.41381

M. Spetsakis and J. Aloimonos, Structure from motion using line correspondences, International Journal of Computer Vision, vol.8, issue.3, pp.171-183, 1990.
DOI : 10.1007/BF00054994

Y. Liu and T. S. Huang, ªA Linear Algorithm for Motion Estimation Using Straight Line Correspondences, Computer Vision, Graphics, and Image Processing, pp.35-57, 1988.
DOI : 10.1016/s0734-189x(88)80030-6

J. Philip, A Non-Iterative Algorithm for Determining All Essential Matrices Corresponding to Five Point Pairs, The Photogrammetric Record, vol.15, issue.88, pp.589-599, 1996.
DOI : 10.1111/0031-868X.00066

O. Faugeras and M. Hebert, The Representation, Recognition, and Locating of 3-D Objects, The International Journal of Robotics Research, vol.5, issue.3, pp.27-52, 1986.
DOI : 10.1177/027836498600500302

P. R. Wolf, Elements of Photogrammetry, 1974.

P. Brand, ªReconstruction Tridimensionnelle d'une Sce Áne a Á Partir d'une Came Âra en Mouvement de l'Influence de la Pre Âcision,º The Áses de Doctorat, 1995.