D. Anguelov, D. Koller, E. Parker, and S. Thrun, Detecting and modeling doors with mobile robots, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, pp.3777-3784, 2004.
DOI : 10.1109/ROBOT.2004.1308857
URL : http://ai.stanford.edu/~drago/Papers/icra-doors.pdf

J. Hensler, M. Blaich, and O. Bittel, Real-Time Door Detection Based on AdaBoost Learning Algorithm, Research and Education in Robotics -EUROBOT 2009, p.61, 2010.
DOI : 10.1007/BF00130487

A. C. Murillo, J. Ko?ecká, J. J. Guerrero, and C. Sagüés, Visual door detection integrating appearance and shape cues, Robotics and Autonomous Systems, vol.56, issue.6, pp.512-521, 2008.
DOI : 10.1016/j.robot.2008.03.003

Z. Chen and S. T. Birchfield, Visual detection of linteloccluded doors from a single image, IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.1-8, 2008.

Z. Chen, Y. Li, and S. T. Birchfield, Visual detection of lintel-occluded doors by integrating multiple cues using a data-driven Markov chain Monte Carlo process, Robotics and Autonomous Systems, vol.59, issue.11, pp.966-976, 2011.
DOI : 10.1016/j.robot.2011.06.013

M. Berger, How to track efficiently piecewise curved contours with a view to reconstructing 3D objects, Proceedings of 12th International Conference on Pattern Recognition, pp.32-36, 1994.
DOI : 10.1109/ICPR.1994.576221

N. Vaswani, Y. Rathi, A. Yezzi, and A. Tannenbaum, Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations, IEEE Transactions on Image Processing, vol.19, issue.4, pp.841-857, 2010.
DOI : 10.1109/TIP.2009.2037465

S. Boukir, P. Bouthemy, F. Chaumette, and D. Juvin, A local method for contour matching and its parallel implementation, Machine Vision and Applications, pp.321-330, 1998.
DOI : 10.1007/s001380050082

P. Bouthemy, A maximum likelihood framework for determining moving edges, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.5, pp.499-511, 1989.
DOI : 10.1109/34.24782
URL : https://hal.archives-ouvertes.fr/inria-00075857

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

C. Rother, A new approach to vanishing point detection in architectural environments, Proc. 11th British Machine Vision Conference, pp.382-391, 2000.
DOI : 10.1016/S0262-8856(02)00054-9

K. Boulanger, K. Bouatouch, and S. Pattanaik, ATIP: A Tool for 3D Navigation inside a Single Image with Automatic Camera Calibration, EG UK conference, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00461526

K. Ok, D. Ta, and F. Dellaert, Vistas and wall-floor intersection features -enabling autonomous flight in man-made environments, Workshop on Visual Control of Mobile Robots, 2012.

E. Delage, H. Lee, and A. Y. Ng, A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2418-2428, 2006.
DOI : 10.1109/CVPR.2006.23

E. Marchand and F. Chaumette, Feature tracking for visual servoing purposes, Robotics and Autonomous Systems, vol.52, issue.1, pp.53-70, 2005.
DOI : 10.1016/j.robot.2005.03.009
URL : https://hal.archives-ouvertes.fr/inria-00351898