R. I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2004.
DOI : 10.1017/CBO9780511811685

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
URL : http://www.cs.ubc.ca/~lowe/papers/ijcv03.ps

H. Bay, A. Ess, T. Tuytelaars, and L. Van-gool, Speeded-Up Robust Features (SURF), Computer Vision and Image Understanding, vol.110, issue.3, pp.346-359, 2008.
DOI : 10.1016/j.cviu.2007.09.014
URL : http://www.cs.jhu.edu/%7Emisha/ReadingSeminar/Papers/Bay08.pdf

E. Rosten and T. Drummond, Machine Learning for High-Speed Corner Detection, European Conference on Computer Vision, pp.430-443, 2006.
DOI : 10.1109/ICNN.1995.489004
URL : http://mi.eng.cam.ac.uk/~er258/work/rosten_2006_machine.ps.gz

M. Calonder, V. Lepetit, M. Ozuysal, T. Trzcinski, C. Strecha et al., BRIEF: Computing a Local Binary Descriptor Very Fast, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.7, pp.1281-1298, 2012.
DOI : 10.1109/TPAMI.2011.222
URL : http://infoscience.epfl.ch/record/167678/files/top.pdf

K. M. Yi, E. Trulls, V. Lepetit, and P. Fua, LIFT: Learned Invariant Feature Transform, Proceedings of the European Conference on Computer Vision, 2016.
DOI : 10.1109/TPAMI.2009.167
URL : http://arxiv.org/pdf/1603.09114

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

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

Y. Salaün, R. Marlet, and P. Monasse, Robust and Accurate Line- and/or Point-Based Pose Estimation without Manhattan Assumptions, European Conference on Computer Vision, pp.801-818, 2016.
DOI : 10.1109/TPAMI.2003.1190575

B. Fan, F. Wu, and Z. Hu, Line matching leveraged by point correspondences, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.390-397, 2010.
DOI : 10.1109/CVPR.2010.5540186
URL : http://vision.ia.ac.cn/Students/bfan/BinFan_LM_CVPR10.pdf

H. Li, D. Song, Y. Lu, and J. Liu, A two-view based multilayer feature graph for robot navigation, 2012 IEEE International Conference on Robotics and Automation, pp.3580-3587, 2012.
DOI : 10.1109/ICRA.2012.6224732
URL : http://faculty.cs.tamu.edu/dzsong/pdfs/haifeng_feature-fusion-icra12-v22-icra-final.pdf

T. Kim, J. Woo, and I. Kweon, Probabilistic matching of lines for their homography Robust line matching through linepoint invariants, 16th IEEE International Conference on Image Processing, pp.3489-3492, 2009.
DOI : 10.1109/icip.2009.5414062

Q. Jia, X. Gao, X. Fan, Z. Luo, H. Li et al., Novel Coplanar Line-Points Invariants for Robust Line Matching Across Views, European Conference on Computer Vision, pp.599-611, 2016.
DOI : 10.1016/j.jvcir.2013.05.006

L. Wang, U. Neumann, and S. You, Wide-baseline image matching using Line Signatures, 2009 IEEE 12th International Conference on Computer Vision, pp.1311-1318, 2009.
DOI : 10.1109/ICCV.2009.5459316

J. López, R. Santos, X. R. Fdez-vidal, and X. M. Pardo, Two-view line matching algorithm based on context and appearance in low-textured images, Pattern Recognition, vol.48, issue.7, pp.2164-2184, 2015.
DOI : 10.1016/j.patcog.2014.11.018

N. Sunderhauf, S. Shirazi, A. Jacobson, F. Dayoub, E. Pepperell et al., Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free, Robotics: Science and Systems XI, 2015.
DOI : 10.15607/RSS.2015.XI.022

S. M. Lowry, N. Sünderhauf, P. Newman, J. J. Leonard, D. D. Cox et al., Visual Place Recognition: A Survey, IEEE Transactions on Robotics, vol.32, issue.1, pp.1-19, 2016.
DOI : 10.1109/TRO.2015.2496823

A. Krizhevsky, I. Sutskever, and G. E. Hinton, ImageNet classification with deep convolutional neural networks, Proceedings of the 25th International Conference on Neural Information Processing Systems, pp.1097-1105, 2012.
DOI : 10.1162/neco.2009.10-08-881
URL : http://dl.acm.org/ft_gateway.cfm?id=3065386&type=pdf

L. Zitnick and P. Dollar, Edge Boxes: Locating Object Proposals from Edges, ECCV European Conference on Computer Vision, 2014.
DOI : 10.1007/978-3-319-10602-1_26
URL : http://research.microsoft.com/en-us/um/people/larryz/ZitnickDollarECCV14edgeBoxes.pdf

G. Simon, A. Fond, and M. Berger, A Simple and Effective Method to Detect Orthogonal Vanishing Points in Uncalibrated Images of Man-Made Environments, Eurographics 2016, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01275628

R. Grompone-von-gioi, J. Jakubowicz, J. 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

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

A. R. Zamir, T. Wekel, P. Agrawal, C. Wei, J. Malik et al., Generic 3D Representation via Pose Estimation and Matching, European Conference on Computer Vision, pp.535-553, 2016.
DOI : 10.1007/s11263-012-0515-x
URL : http://arxiv.org/pdf/1710.08247