V. Angladon, S. Gasparini, and V. Charvillat, The toulouse vanishing points dataset, Proceedings of the 6th ACM Multimedia Systems Conference on, MMSys '15, 2015.
DOI : 10.1145/2713168.2713196

URL : https://hal.archives-ouvertes.fr/hal-01130447

M. Antone and S. Teller, Automatic recovery of relative camera rotations for urban scenes, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000.
DOI : 10.1109/CVPR.2000.854809

M. Bansal, K. Daniilidis, and H. Sawhney, Ultra-wide Baseline Facade Matching for Geo-localization, ECCV Workshop on Visual Analysis and Geo-Localization of Large-Scale Imagery, 2012.
DOI : 10.1007/978-3-642-33863-2_18

J. Bazin, Y. Seo, C. Demonceaux, P. Vasseur, K. Ikeuchi et al., Globally optimal line clustering and vanishing point estimation in Manhattan world, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012.
DOI : 10.1109/CVPR.2012.6247731

URL : https://hal.archives-ouvertes.fr/hal-00697707

S. R. Buss and J. P. Fillmore, Spherical averages and applications to spherical splines and interpolation. Transaction on Graphics, pp.95-126, 2001.

J. M. Coughlan and A. L. Yuille, Manhattan World: compass direction from a single image by Bayesian inference, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999.
DOI : 10.1109/ICCV.1999.790349

J. M. Coughlan and A. L. Yuille, Manhattan World: Orientation and Outlier Detection by Bayesian Inference, Neural Computation, vol.54, issue.2, 2003.
DOI : 10.1023/A:1011156931605

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

P. Denis, J. H. Elder, and F. J. Estrada, Efficient Edge-Based Methods for Estimating Manhattan Frames in Urban Imagery, ECCV, 2008.
DOI : 10.1007/978-3-540-88688-4_15

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

D. Q. Huynh, Metrics for 3D Rotations: Comparison and Analysis, Journal of Mathematical Imaging and Vision, vol.19, issue.3, pp.155-164, 2009.
DOI : 10.1007/s10851-009-0161-2

J. T. Kent, The fisher-bingham distribution on the sphere, Journal of the Royal Statistical Society. Series B (Methodological), vol.44, issue.1, 1982.

J. Kosecka and W. Zhang, Video compass, ECCV, 2002.

J. Kosecka and W. Zhang, Extraction, matching and pose recovery based on dominant rectangular structures, CVIU, vol.100, 2005.

J. Lezama, R. Grompone-von-gioi, G. Randall, and J. 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

M. Magee and J. Aggarwal, Determining vanishing points from perspective images, Comp. Vis., Graphics, and Image Proc, vol.26, issue.2, 1984.

K. V. Mardia and P. E. Jupp, Directional statistics Wiley Series in Probability and Statistics Good features to track, CVPR, 1994. [19] J.-P. Tardif. Non-iterative approach for fast and accurate vanishing point detection ICCV, 2000.

T. Werner and A. Zisserman, New Techniques for Automated Architectural Reconstruction from Photographs, ECCV, 2002.
DOI : 10.1007/3-540-47967-8_36

H. Wildenauer and A. Hanbury, Robust camera self-calibration from monocular images of Manhattan worlds, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012.
DOI : 10.1109/CVPR.2012.6248008