Y. Xu, S. Oh, and A. Hoogs, A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.1376-1383, 2013.
DOI : 10.1109/CVPR.2013.181

J. Lezama, R. Grompone-von-gioi, G. Randall, and J. M. Morel, Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.72

A. Elqursh and A. Elgammal, Line-based relative pose estimation, CVPR 2011, pp.12-14, 2011.
DOI : 10.1109/CVPR.2011.5995512

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.2224

J. Weng, T. S. Huang, and N. Ahuja, Motion and structure from line correspondences; closed-form solution, uniqueness, and optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.3, pp.318-336, 1992.
DOI : 10.1109/34.120327

Z. Zhang, Estimating motion and structure from correspondences of line segments between two perspective images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.12, pp.1129-1139, 1995.
DOI : 10.1109/34.476506

URL : https://hal.archives-ouvertes.fr/inria-00074337

R. I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Second edn, p.521540518, 2004.

A. Bartoli and P. F. Sturm, Structure-from-motion using lines: Representation, triangulation, and bundle adjustment, Computer Vision and Image Understanding, vol.100, issue.3, pp.416-441, 2005.
DOI : 10.1016/j.cviu.2005.06.001

URL : https://hal.archives-ouvertes.fr/hal-00092589

G. Schindler, P. Krishnamurthy, and F. Dellaert, Line-Based Structure from Motion for Urban Environments, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), pp.846-853, 2006.
DOI : 10.1109/3DPVT.2006.90

L. Zhang and R. Koch, Structure and motion from line correspondences: Representation, projection, initialization and sparse bundle adjustment, Journal of Visual Communication and Image Representation, vol.25, issue.5, pp.904-915, 2014.
DOI : 10.1016/j.jvcir.2014.02.013

M. Chandraker, J. Lim, and D. Kriegman, Moving in stereo: Efficient structure and motion using lines, 2009 IEEE 12th International Conference on Computer Vision, pp.1741-1748, 2009.
DOI : 10.1109/ICCV.2009.5459390

V. Pradeep and J. Lim, Egomotion using assorted features, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1514-1521, 2010.
DOI : 10.1109/CVPR.2010.5539792

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.7031

J. Koseck and W. Z. , Extraction, matching, and pose recovery based on dominant rectangular structures, Computer Vision and Image Understanding, vol.100, issue.3, pp.274-293, 2005.
DOI : 10.1016/j.cviu.2005.04.005

J. Montiel, J. Tardós, and L. Montano, Structure and motion from straight line segments, Pattern Recognition, vol.33, issue.8, pp.1295-1307, 2000.
DOI : 10.1016/S0031-3203(99)00117-X

H. Bay, V. Ferrari, and L. Van-gool, Wide-Baseline Stereo Matching with Line Segments, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.329-336, 2005.
DOI : 10.1109/CVPR.2005.375

J. Draréni, R. Keriven, and R. Marlet, Indoor Calibration Using Segment Chains, 33rd Annual Symposium of the German Association for Pattern Recognition, p.14, 2011.
DOI : 10.1007/978-3-642-23123-0_8

J. K. Lee and K. J. Yoon, Real-time joint estimation of camera orientation and vanishing points, IEEE Conference on Computer Vision and Pattern Recognition, 2015.

R. Cipolla, T. Drummond, and D. Robertson, Camera calibration from vanishing points in images of architectural scenes, British Machine Vision Conference, pp.382-391, 1999.

C. Rother and S. Carlsson, Linear multi view reconstruction and camera recovery using a reference plane, International Journal of Computer Vision, vol.49, issue.2/3, pp.117-141, 2002.
DOI : 10.1023/A:1020189404787

S. Sinha, D. Steedly, and R. Szeliski, A Multi-stage Linear Approach to Structure from Motion, Lecture Notes in Computer Science, vol.6554, pp.267-281, 2012.
DOI : 10.1007/978-3-642-35740-4_21

F. L. Markley, Attitude determination using vector observations and the singular value decomposition, The Journal of the Astronautical Sciences, vol.36, issue.3, pp.245-258, 1988.

P. Schönemann, A generalized solution of the orthogonal procrustes problem, Psychometrika, vol.22, issue.1, pp.1-10, 1966.
DOI : 10.1007/BF02289451

D. Nistér, An efficient solution to the five-point relative pose problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.6, pp.756-777, 2004.
DOI : 10.1109/TPAMI.2004.17

P. Moulon, P. Monasse, and R. Marlet, Adaptive Structure from Motion with a??Contrario Model Estimation, Proceedings of the 11th Asian Conference on Computer Vision (ACCV 2012), pp.257-270, 2013.
DOI : 10.1007/978-3-642-37447-0_20

URL : https://hal.archives-ouvertes.fr/hal-00769266

L. Moisan and B. Stival, A Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix, International Journal of Computer Vision, vol.57, issue.3, pp.201-218, 2004.
DOI : 10.1023/B:VISI.0000013094.38752.54

URL : https://hal.archives-ouvertes.fr/hal-00171323

L. Moisan, P. Moulon, and P. Monasse, Fundamental Matrix of a Stereo Pair, with A Contrario Elimination of Outliers, Image Processing On Line, vol.5, pp.89-113, 2016.
DOI : 10.5201/ipol.2016.147

URL : https://hal.archives-ouvertes.fr/hal-01386806

L. Moisan, P. Moulon, and P. Monasse, Automatic Homographic Registration of a Pair of Images, with A Contrario Elimination of Outliers, Image Processing On Line, vol.2, issue.8, pp.56-73, 2012.
DOI : 10.5201/ipol.2012.mmm-oh

URL : https://hal.archives-ouvertes.fr/hal-00711852

C. Strecha, W. Von-hansen, L. Van-gool, P. Fua, and U. Thoennessen, On benchmarking camera calibration and multi-view stereo for high resolution imagery, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
DOI : 10.1109/CVPR.2008.4587706

R. Grompone-von-gioi, J. Jakubowicz, J. M. Morel, and G. Randall, LSD: a Line Segment Detector, Image Processing On Line, vol.2, pp.35-55, 2012.
DOI : 10.5201/ipol.2012.gjmr-lsd

Y. Salaün, R. Marlet, and P. Monasse, Multiscale line segment detector for robust and accurate SfM, 23rd International Conference on Pattern Recognition (ICPR), p.9, 2016.

L. Zhang and R. Koch, An efficient and robust line segment matching approach based on LBD descriptor and pairwise geometric consistency, Journal of Visual Communication and Image Representation, vol.24, issue.7, pp.794-805, 2013.
DOI : 10.1016/j.jvcir.2013.05.006

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

Z. Liu and R. Marlet, Virtual Line Descriptor and Semi-Local Graph Matching Method for Reliable Feature Correspondence, Procedings of the British Machine Vision Conference 2012, pp.16-17, 2012.
DOI : 10.5244/C.26.16

A. Almansa, A. Desolneux, and S. Vamech, Vanishing point detection without any a priori information, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.4, pp.502-507, 2003.
DOI : 10.1109/TPAMI.2003.1190575

URL : https://hal.archives-ouvertes.fr/hal-00170785