R. Hartley and A. Zisserman, Multiple view geometry in computer vision, 2003.
DOI : 10.1017/CBO9780511811685

K. Levenberg, A method for the solution of certain non-linear problems in least squares, Quarterly of Applied Mathematics, vol.2, issue.2, 1944.
DOI : 10.1090/qam/10666

D. C. Liu and J. Nocedal, On the limited memory BFGS method for large scale optimization, Mathematical Programming, vol.32, issue.2, pp.503-528, 1989.
DOI : 10.1007/BF01589116

M. Lourakis and A. Argyros, Is levenberg-marquardt the most efficient optimization algorithm for implementing bundle adjustment ? ICCV, 2005.

D. Marquardt, An Algorithm for Least-Squares Estimation of Nonlinear Parameters, Journal of the Society for Industrial and Applied Mathematics, vol.11, issue.2, pp.431-441, 1963.
DOI : 10.1137/0111030

J. Moré and D. Thuente, Line search algorithms with guaranteed sufficient decrease, ACM Transactions on Mathematical Software, vol.20, issue.3, pp.286-307, 1994.
DOI : 10.1145/192115.192132

E. Mouragnon, M. Lhuiller, M. Dhome, F. Dekeyser, and P. Sayd, Generic and Real-Time Structure from Motion, Procedings of the British Machine Vision Conference 2007, 2007.
DOI : 10.5244/C.21.64

H. B. Nielsen, J. Nocedal, and S. J. Wright, Damping parameter in marquardt's method Informatics and Mathematical Modelling, Technical University of Denmark, DTU, Richard Petersens Plads Numerical Optimization, Building, vol.321, 1999.

J. Nocedal and Y. Yuan, Combining Trust Region and Line Search Techniques, Advances in Nonlinear Programming, 1992.
DOI : 10.1007/978-1-4613-3335-7_7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.347

M. Pollefeys, L. Van-gool, M. Vergauwen, F. Verbiest, K. Cornelis et al., Visual Modeling with a Hand-Held Camera, International Journal of Computer Vision, vol.59, issue.3, pp.207-232, 2004.
DOI : 10.1023/B:VISI.0000025798.50602.3a

M. J. Powell, A hybrid method for nonlinear equations . Numerical Methods for Nonlinear Algebraic Equations, pp.87-114, 1970.

P. Sturm and B. Triggs, A factorization based algorithm for multi-image projective structure and motion, pp.709-720, 1996.
DOI : 10.1007/3-540-61123-1_183
URL : https://hal.archives-ouvertes.fr/inria-00525695

J. Tardif, A. Bartoli, M. Trudeau, S. Guilbert, N. et al., Algorithms for Batch Matrix Factorization with Application to Structure-from-Motion, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383062
URL : https://hal.archives-ouvertes.fr/hal-00147656

C. Tomasi and T. Kanade, Shape and motion from image streams under orthography: a factorization method, International Journal of Computer Vision, vol.4, issue.1, pp.137-154, 1992.
DOI : 10.1007/BF00129684

B. Triggs, P. F. Mclauchlan, R. Hartley, and A. W. Fitzgibbon, Bundle Adjustment ??? A Modern Synthesis, Lecture Notes in Computer Science, vol.1883, p.298, 2000.
DOI : 10.1007/3-540-44480-7_21
URL : https://hal.archives-ouvertes.fr/inria-00548290

B. Triggs, Linear projective reconstruction from matching tensors, Image and Vision Computing, vol.15, issue.8, pp.617-625, 1997.
DOI : 10.1016/S0262-8856(97)00016-4
URL : https://hal.archives-ouvertes.fr/inria-00548357