A. Cuneyt, T. Cihan, and . Edlines, A Real-time Line Segment Detector with a False Detection Control » In : Pattern Recogn

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

D. H. Ballard, A. De-martin, . Fischler, and F. Oscar, Readings in Computer Vision : Issues, Problems, Principles, and Paradigms, Chap. Generalizing the Hough Transform to Detect Arbitrary Shapes, pp.714-725, 1987.

B. Adrien, F. Peter, and . Sturm, « Structure-from-motion using lines : Representation , triangulation, and bundle adjustment ». In : Computer Vision and Image Understanding 100, pp.416-441, 2005.

M. Chandraker, L. Jongwoo, 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

C. Zhaopeng, J. Nianjuan, T. Chengzhou, and T. Ping, « Linear Global Translation Estimation with Feature Tracks, British Machine Vision Conference, 2015.

D. Jamil, K. Renaud, and M. Renaud, « Indoor Calibration using Segments Chains Août, 33rd Annual Symposium of the German Association for Pattern Recognition, 2011.

A. Elqursh and A. Elgammal, Line-based relative pose estimation, CVPR 2011, pp.3049-3056
DOI : 10.1109/CVPR.2011.5995512
URL : http://www.cvpapers.com/papers/elqursh2011.pdf

D. Olivier, . Faugeras, D. Rachid, M. Herve, A. Nicholas et al., « The Depth and Motion Analysis Machine, International Journal of Pattern Recognition and Artificial Intelligence, vol.06, pp.2-03, 1992.

F. Johan, E. Olof, and K. Fredrik, « Fast and Reliable Two-View Translation Estimation, Conference on Computer Vision and Pattern Recognition (CVPR, 2014.

A. Fusiello, F. Crosilla, and F. Malapelle, Procrustean Point-Line Registration and the NPnP Problem, 2015 International Conference on 3D Vision, pp.250-255, 2015.
DOI : 10.1109/3DV.2015.35

R. Grompone-von, G. Jérémie, J. Jean-michel, M. Gregory, and R. «. Lsd, LSD: a Line Segment Detector, Line Segment Detector, pp.35-55, 2012.
DOI : 10.5201/ipol.2012.gjmr-lsd

R. Grompone-von, G. Jérémie, J. Jean-michel, M. Gregory, and R. , On Straight Line Segment Detection, Journal of Mathematical Imaging and Vision, vol.135, issue.2, pp.313-347, 2008.
DOI : 10.1007/978-1-4613-2551-2

V. Madhav and G. «. , Combining Two-view Constraints For Motion Estimation, Conference on Computer Vision and Pattern Recognition, 2001.

A. R. Hanson, E. M. Riseman, J. Brian, and . Burns, « Extracting Straight Lines, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.8, pp.425-455, 1986.

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

R. I. Hartley, In defense of the eight-point algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.6, pp.580-593, 1997.
DOI : 10.1109/34.601246

H. Michal, T. Akihiko, and P. Tomá?, « Efficient Structure from Motion by Graph Optimization, 11th European Conference on Computer Vision Proceedings, Part II, pp.100-113978, 2010.

J. A. Hesch and S. I. Roumeliotis, A Direct Least-Squares (DLS) method for PnP, 2011 International Conference on Computer Vision, pp.383-390, 2011.
DOI : 10.1109/ICCV.2011.6126266

H. Manuel, M. Michael, B. Horst, G. De-juergen, P. V. Gehler et al., « Line3D : Efficient 3D Scene Abstraction for the Built Environment » In : GCPR. Sous la dir, Lecture Notes in Computer Science, vol.9358, pp.237-248, 2015.

H. Manuel, D. Michael, and B. Horst, « Semi-Global 3D Line Modeling for Incremental Structure-from-Motion, British Machine Vision Conference, 2014.

H. «. Michael, Extracting Vanishing Points across Multiple Views ». Mém.de mast. Favoritenstrasse 9-11 A-1040 Vienna, Austria : Institute of Computer Graphics et Algorithms

I. Satoshi, B. Ivaylo, S. Qi, and F. Yasutaka, « Panoramic Structure from Motion via Geometric Relationship Detection, 2016.

J. Nianjuan, C. Zhaopeng, and T. Ping, « A Global Linear Method for Camera Pose Registration, IEEE International Conference on Computer Vision, 2013.

K. Fredrik and R. I. Hartley, « Multiple-View Geometry Under the L ? -Norm, IEEE Trans. PAMI, vol.30, issue.9, pp.1603-1617, 2008.

K. Chelhwon and M. Roberto, « Planar Structures from Line Correspondences in a Manhattan World Revised Selected Papers, Part I. Sous la dir, Computer Vision ? ACCV 2014 : 12th Asian Conference on Computer Vision, 2014.

. Cham, ISBN : 978-3-319-16865-4. DOI : 10.1007/978-3-319-16865-4_33, pp.509-524978, 2015.

K. Jana and W. Zhang, « Extraction, matching, and pose recovery based on dominant rectangular structures. » In : Computer Vision and Image Understanding 100, pp.274-293, 2005.

G. Hee, L. «. Part, V. Sous-la-dir, L. De-bastian, M. Jiri et al., The Netherlands, Minimal Solution for Non-perspective Pose Estimation from Line Correspondences ». In : Computer Vision ? ECCV 2016 : 14th European Conference Proceedings, pp.170-185978, 2016.

L. Jeong-kyun and Y. Kuk-jin, Real-time joint estimation of camera orientation and vanishing points, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
DOI : 10.1109/CVPR.2015.7298796

L. Vincent, M. Francesc, F. Pascal, and . Epnp, An Accurate O(n) Solution to the PnP Problem, International Journal of Computer Vision, vol.812, p.155, 2008.

L. Vincent, M. Francesc, F. Pascal, and . Epnp, An Accurate O(n) Solution to the PnP Problem, International Journal of Computer Vision, vol.812, pp.155-166, 2008.

L. Jose, R. Grompone-von, G. Gregory, R. Jean-michel, and M. , « Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains, IEEE Conference on Computer Vision and Pattern Recognition, 2014.

L. Kai and Y. Jian, « Line segment matching and reconstruction via exploiting coplanar cues, In : {ISPRS} Journal of Photogrammetry and Remote Sensing, vol.125, pp.33-49, 2017.

L. Shiqi, C. Xu, and X. Ming, « A Robust O(n) Solution to the Perspective-n-Point Problem, IEEE Trans. Pattern Anal. Mach. Intell, vol.347, pp.1444-1450, 2012.

L. Zhe and M. Renaud, « Virtual Line Descriptor and Semi-Local Matching Method for Reliable Feature Correspondence, British Machine Vision Conference 2012. United Kingdom

L. Juan, S. Roi, R. Xose, X. Fernández-vidal, and P. Manuel, « Twoview line matching algorithm based on context and appearance in low-textured images, Pattern Recognition, vol.487, pp.2164-2184, 2015.

G. David and . Lowe, Distinctive Image Features from Scale-Invariant Keypoints, Int. J. Comput. Vision, vol.60, issue.2, pp.91-110

Y. Lu, D. S. Robust, and R. , Odometry Using Point and Line Features, IEEE International Conference on Computer Vision (ICCV). 2015, pp.2015-3934
DOI : 10.1109/iccv.2015.448

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

M. Krystian and S. Cordelia, « A Performance Evaluation of Local Descriptors, IEEE Trans. Pattern Anal. Mach. Intell, vol.2710, pp.1615-1630, 2005.

M. Faraz, . Mirzaei, I. Stergios, and . Roumeliotis, « Globally optimal pose estimation from line correspondences, pp.5581-5588, 2011.

M. Faraz, . Mirzaei, I. Stergios, and . Roumeliotis, « Globally optimal pose estimation from line correspondences, IEEE International Conference on Robotics and Automation, pp.5581-5588, 2011.

M. Faraz, . Mirzaei, I. Stergios, and . Roumeliotis, « Optimal estimation of vanishing points in a Manhattan world, IEEE International Conference on Computer Vision, pp.2454-2461, 2011.

M. Lionel and S. «. Bérenger, Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix, Int. J. Comput . Vision, vol.573, pp.201-218, 2004.

M. Lionel, M. Pierre, and M. Pascal, Automatic Homographic Registration of a Pair of Images, with A Contrario Elimination of Outliers, Image Process. On Line (IPOL), vol.2, pp.56-73, 2012.

M. Lionel, M. Pierre, and M. Pascal, Automatic Homographic Registration of a Pair of Images, with A Contrario Elimination of Outliers, Image Process. On Line (IPOL), vol.2, pp.56-73, 2012.

M. Lionel, M. Pierre, and M. Pascal, « Fundamental Matrix of a Stereo Pair, with A Contrario Elimination of Outliers, Image Process. On Line (IPOL), vol.6, pp.89-113, 2016.

J. M. Montiel, J. D. 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

M. Pierre, M. Pascal, and M. «. Renaud, Adaptive Structure from Motion with a Contrario Model Estimation, Proceedings of the 11th Asian Conference on Computer Vision -Volume Part IV. ACCV'12, pp.257-270, 2013.

M. Pierre, M. Pascal, and M. Renaud, « Global fusion of relative motions for robust, accurate and scalable structure from motion, Proceedings of the IEEE International Conference on Computer Vision (ICCV). 2013, pp.3248-3255

N. Marcos and S. Luis, « Non-linear optimization for robust estimation of vanishing points, Proceedings of the International Conference on Image Processing, pp.1885-1888, 2010.

N. «. David, An Efficient Solution to the Five-Point Relative Pose Problem, IEEE Trans. Pattern Anal. Mach. Intell, vol.266, pp.756-777, 2004.

O. Carl and E. Olof, « Stable Structure from Motion for Unordered Image Collections, SCIA. LNCS 6688, pp.524-535, 2011.

J. Philip, Tekniska högskolan. Department of MATHEMATICS. Critical Point Configurations of the 5-, 6-, 7-, and 8-point Algorithms for Relative Orientation, Royal Institute of Technology, 1998.

V. Pradeep and J. Lim, Egomotion using assorted features, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539792
URL : http://vision.ucsd.edu/~jwlim/files/cvpr10triquat.pdf

P. Bronislav, . Ribyl, Z. Pavel, and C. Marti?, « Camera Pose Estimation from Lines using Plücker Coordinates, British Machine Vision Conference, 2015.

R. Srikumar, B. Sofien, F. Peter, and . Sturm, « Pose estimation using both points and lines for geo-localization, IEEE International Conference on Robotics and Automation, pp.9-13, 2011.

S. Yohann, M. Renaud, and M. Pascal, « Multiscale Line Segment Detector for robust and accurate SfM, 23rd International Conference on Pattern Recognition (ICPR, 2016.

S. Yohann, M. Renaud, and M. Pascal, « Robust and Accurate Lineand/or Point-Based Pose Estimation without Manhattan Assumptions, European Conference on Computer Vision (ECCV), 2016.

S. «. Peter, A generalized solution of the orthogonal procrustes problem, Psychometrika 31, pp.1-101, 1966.

K. Sim and R. Hartley, « Recovering Camera Motion Using L ? Minimization, Conference on Computer Vision and Pattern Recognition, 2006.

S. Noah, S. M. Seitz, and S. Richard, « Photo Tourism : Exploring Photo Collections in 3D, ACM Transations on Graphics, vol.253, pp.835-846, 2006.

C. Strecha, W. 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.1-84587706, 2008.
DOI : 10.1109/CVPR.2008.4587706

S. Changming, « 2 Point Linear Algorithm for Camera Translation Vector Estimation with Known Rotation, pp.557-561, 2000.

T. Jean-philippe, . Non, G. Riccardo, F. Michela, and F. Andrea, DOI : 10 . 1109 / ICCV, Hierarchical Structure-and-motion Recovery from Uncalibrated Images ». In : Computer Vision and Image Understanding, pp.1250-1257, 2009.

W. Lu, N. Ulrich, and Y. Suya, « Wide-baseline image matching using Line Signatures. » In : ICCV, IEEE Computer Society, pp.1311-1318, 2009.

W. Zhiheng, W. Fuchao, H. «. Zhanyi, and . Msld, A robust descriptor for line matching, Pattern Recognition, vol.425, pp.941-953, 2009.

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

W. Changchang, Towards Linear-Time Incremental Structure from Motion, International Conference on 3D Vision, 2013.

X. Chi, Z. Lilian, C. Li, and K. Reinhard, « Pose Estimation from Line Correspondences : A Complete Analysis and A Series of Solutions, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.

X. Yiliang, O. Sangmin, and A. Hoogs, « A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments, IEEE Computer Vision and Pattern Recognition, pp.1376-1383, 2013.

Z. Lilian and K. Reinhard, An Efficient and Robust Line Segment Matching Approach Based on LBD Descriptor and Pairwise Geometric Consistency, J. Vis. Comun. Image Represent, vol.247, pp.794-805

Z. Lilian and K. Reinhard, Structure and motion from line correspondences : Representation, projection, initialization and sparse bundle adjustment, Journal of Visual Communication and Image Representation, vol.255, pp.904-915, 2014.

Z. Lilian, X. Chi, L. Kok-meng, K. Reinhard, L. De-kyoung-mu et al., Robust and Efficient Pose Estimation from Line Correspondences Sous la dir, 11th Asian Conference on Computer Vision, pp.217-230, 2012.

Z. Lilian, X. Chi, L. Kok-meng, K. Reinhard, L. De-kyoung-mu et al., Robust and Efficient Pose Estimation from Line Correspondences Revised Selected Papers, Part III. Sous la dir, Computer Vision ? ACCV 2012 : 11th Asian Conference on Computer Vision, pp.217-230978, 2012.

Z. Lilian, L. Huimin, H. Xiaoping, and K. Reinhard, « Vanishing Point Estimation and Line Classification in a Manhattan World with a Unifying Camera Model, International Journal of Computer Vision, vol.1172, pp.111-130, 2016.

Z. Zhengyou, Estimating motion and structure from correspondences of line segments between two perspective images, 5th International Conference on Computer Vision (ICCV 1995, pp.257-262, 1995.

Z. Zhengyou, Estimating motion and structure from correspondences of line segments between two perspective images, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.1129-1139

Y. Zheng, Y. Kuang, S. Sugimoto, K. Åström, and M. Okutomi, Revisiting the PnP Problem: A Fast, General and Optimal Solution, 2013 IEEE International Conference on Computer Vision, pp.2344-2351
DOI : 10.1109/ICCV.2013.291