B. Eamon, M. H. Barrett, N. N. Brill, P. M. Haag, and . Payton, Invariant Linear Methods in Photogrammetry and Model-Matching, Geometric Invariance in Computer Vision, 1992.

T. Blaszka and R. Deriche, Recovering and characterizing image features using an efficient model based approach, 1994.
URL : https://hal.archives-ouvertes.fr/inria-00074253

B. Boufama and R. Mohr, Epipole and fundamental matrix estimation using the virtual parallax property, Proceedings of the 5th Proc. International Conference on Computer Vision
DOI : 10.1109/iccv.1995.466821
URL : https://hal.archives-ouvertes.fr/inria-00548391

D. C. Brown, A solution to the general problem of multiple station analytical stereotriangulation, 1958.

D. C. Brown, Close-Range Camera Calibration, Photogrammetric Engineering, vol.37, issue.8, pp.855-866, 1971.

G. Csurka, C. Zeller, Z. Zhang, and O. Faugeras, Characterizing the Uncertainty of the Fundamental Matrix, Computer Vision and Image Understanding, vol.68, issue.1, 1995.
DOI : 10.1006/cviu.1997.0531
URL : https://hal.archives-ouvertes.fr/inria-00074121

O. Faugeras, What can be seen in three dimensions with an uncalibrated stereo rig?, Proceedings of the 2nd European Conference on Computer Vision, pp.563-578, 1992.
DOI : 10.1007/3-540-55426-2_61

O. Faugeras, Three-Dimensional Computer Vision: a Geometric Viewpoint, 1993.

O. Faugeras, Stratification of three-dimensional vision: projective, affine, and metric representations, Journal of the Optical Society of America A, vol.12, issue.3, pp.465-484, 1995.
DOI : 10.1364/JOSAA.12.000465

O. Faugeras and S. Laveau, Representing three-dimensional data as a collection of images and fundamental matrices for image synthesis, Proceedings of the International Conference on Pattern Recognition, pp.689-691, 1994.

O. Faugeras, T. Luong, and S. Maybank, Camera self-calibration: Theory and experiments, Proc. Second European Conference on Computer Vision, number 588 in Lecture Notes in Computer Science, pp.321-334, 1992.
DOI : 10.1007/3-540-55426-2_37

O. Faugeras and B. Mourrain, On the geometry and algebra of the point and line correspondences between N images, Proceedings of IEEE International Conference on Computer Vision
DOI : 10.1109/ICCV.1995.466832
URL : https://hal.archives-ouvertes.fr/inria-00074025

O. Faugeras and B. Mourrain, On the geometry and algebra of the point and line correspondences between N images, Proceedings of IEEE International Conference on Computer Vision, 1995.
DOI : 10.1109/ICCV.1995.466832
URL : https://hal.archives-ouvertes.fr/inria-00074025

M. A. Förstner and E. Gülch, A fast operator for detection and precise location of distinct points, corners and centers of circular features, Proceedings of the Intercommission Workshop of the International Society for Photogrammetry and Remote Sensing, 1987.

A. Gruen, Accuracy, reliability and statistics in close-range photogrammetry, Proceedings of the Symposium of the ISP Commission V, 1978.

A. Gruen and H. A. Beyer, System Calibration Through Self-Calibration, Proceedings of the Workshop on Calibration and Orientation of Cameras in Computer Vision, 1992.
DOI : 10.1007/978-3-662-04567-1_7

A. Guiducci, Corner characterization by differential geometry techniques, Pattern Recognition Letters, vol.8, issue.5, pp.311-318, 1988.
DOI : 10.1016/0167-8655(88)90080-3

C. Harris and M. Stephens, A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, pp.189-192, 1988.
DOI : 10.5244/C.2.23
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.1604

R. I. Hartley, Euclidean reconstruction from uncalibrated views, Applications of Invariance in Computer Vision, pp.237-256, 1993.
DOI : 10.1007/3-540-58240-1_13
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.1663

R. Hartley, R. Gupta, and T. Chang, Stereo from uncalibrated cameras, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.761-764, 1992.
DOI : 10.1109/CVPR.1992.223179

R. I. Hartley, Estimation of relative camera positions for uncalibrated cameras, European Conference on Computer Vision, pp.579-587, 1992.
DOI : 10.1007/3-540-55426-2_62

L. Kitchen and A. Rosenfeld, Gray-level corner detection, Pattern Recognition Letters, vol.1, issue.2, pp.95-102, 1982.
DOI : 10.1016/0167-8655(82)90020-4

J. J. Koenderink and A. J. Van-doorn, Affine structure from motion, Journal of the Optical Society of America A, vol.8, issue.2, pp.377-385, 1991.
DOI : 10.1364/JOSAA.8.000377

S. Laveau and O. Faugeras, 3-D scene representation as a collection of images andfundamental matrices, 1994.

Q. T. Luong, R. Deriche, O. D. Faugeras, and T. Papadopoulo, On determining the Fundamental matrix: analysis of different methods and experimental results, Israelian Conf. on Artificial Intelligence and Computer Vision, 1993.
URL : https://hal.archives-ouvertes.fr/inria-00074777

Q. Luong and T. Viéville, Canonic representations for the geometries of multiple projective views, Proceedings of the 3rd European Conference on Computer Vision, pp.589-599, 1994.
DOI : 10.1007/3-540-57956-7_66

Q. Luong, Matrice Fondamentale et Calibration Visuelle sur l'Environnement-Vers une plus grande autonomie des systèmes robotiques, 1992.

Q. Luong, R. Deriche, O. Faugeras, and T. Papadopoulo, On determining the fundamental matrix: Analysis of different methods and experimental results, 1993.
URL : https://hal.archives-ouvertes.fr/inria-00074777

Q. Luong and O. Faugeras, Camera Calibration, Scene Motion and Structure recovery from point correspondences and Fundamental matrices, The International Journal of Computer Vision, 1994.

Q. Luong and O. Faugeras, The fundamental matrix: Theory, algorithms, and stability analysis, International Journal of Computer Vision, vol.11, issue.5, 1994.
DOI : 10.1007/BF00127818

T. Luong and O. Faugeras, A stability analysis of the Fundamental matrix, Proceedings of the 3rd European Conference on Computer Vision, pp.577-588, 1994.
DOI : 10.1007/3-540-57956-7_65

S. J. Maybank and O. D. Faugeras, A theory of self-calibration of a moving camera, International Journal of Computer Vision, vol.1, issue.2, pp.123-152, 1992.
DOI : 10.1007/BF00127171

J. A. Noble, Finding corners, Image and Vision Computing, vol.6, issue.2, pp.121-128, 1988.
DOI : 10.1016/0262-8856(88)90007-8

S. I. Olsen, Epipolar line estimation, Proc. Second European Conference on Computer Vision, pp.307-311, 1992.
DOI : 10.1007/3-540-55426-2_35

C. Rothwell, G. Csurka, and O. Faugeras, A comparison of projective reconstruction methods for pairs of views, Proceedings of IEEE International Conference on Computer Vision
DOI : 10.1109/ICCV.1995.466835
URL : https://hal.archives-ouvertes.fr/inria-00074140

P. J. Rousseeuw and A. M. Leroy, Robust Regression and Outlier Detection, 1987.
DOI : 10.1002/0471725382

J. G. Semple and G. T. Kneebone, Algebraic Projective Geometry, 1952.

S. Ullman and R. Basri, Recognition by linear combinations of models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.10, pp.992-1006, 1991.
DOI : 10.1109/34.99234

Z. Zhang, R. Deriche, O. Faugeras, and Q. Luong, A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry, Artificial Intelligence, vol.78, issue.1-2, 1994.
DOI : 10.1016/0004-3702(95)00022-4
URL : https://hal.archives-ouvertes.fr/inria-00074398

I. Unité-de-recherche, V. Lorraine, and I. Le-`-sle-`-le-`-s-nancy-unité-de-recherche, Technopôle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, pp.38031-38032

I. Unité-de-recherche and . Rocquencourt, Domaine de Voluceau, Rocquencourt, BP 105, 78153 LE CHESNAY Cedex Unité de recherche INRIA Sophia-Antipolis, 2004.