M. Agrawal, K. Konolige, and M. R. Blas, CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching, ECCV, pp.102-115, 2008.
DOI : 10.1007/978-3-540-88693-8_8

M. Ambai and Y. Yoshida, CARD: Compact And Real-time Descriptors, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126230

M. Armstrong and A. Zisserman, Robust object tracking, ACCV, pp.58-61, 1995.

S. Arya, D. M. Mount, N. S. Netanyahu, R. Silverman, and A. Wu, An optimal algorithm for approximate nearest neighbor searching fixed dimensions, Journal of the ACM, vol.45, issue.6, pp.891-923, 1998.
DOI : 10.1145/293347.293348

). R. Azuma, A Survey of Augmented Reality, Presence: Teleoperators and Virtual Environments, vol.15, issue.12, pp.355-385, 1997.
DOI : 10.1109/2945.466720

). S. Baker and I. Matthews, Equivalence and efficiency of image alignment algorithms, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.1090-1097, 2001.
DOI : 10.1109/CVPR.2001.990652

). S. Baker and I. Matthews, Lucas-Kanade 20 Years On: A Unifying Framework, International Journal of Computer Vision, vol.56, issue.3, pp.221-255, 2004.
DOI : 10.1023/B:VISI.0000011205.11775.fd
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.2144

H. Bay, A. Ess, T. Tuytelaars, and L. Van-gool, Speeded-up robust features (SURF), CVIU, vol.110, pp.346-359, 2008.
DOI : 10.1016/j.cviu.2007.09.014
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.738

S. Benhimane, E. Malis, F. Bergamasco, A. Albarelli, E. et al., Homography-based 2D Visual Tracking and Servoing, CVPR Bimber and R. Raskar. Spatial Augmented Reality: Merging Real and Virtual Worlds. A K Peters, pp.661-676, 2007.
DOI : 10.1177/0278364907080252

M. Calonder, V. Lepetit, C. Strecha, P. Fua-)-o, J. Chum et al., BRIEF: Binary robust independent elementary features Matching with PROSAC ? progressive sample consensus Mean shift: A robust approach toward feature space analysis. TPAMI Real-time markerless tracking for augmented reality: The virtual visual servoing framework) N. Dalal and B. Triggs. Histograms of oriented gradients for human detection, CVPR CVPR17) A. Dame andÉand´andÉ. Marchand. Accurate real-time tracking using mutual information. In ISMAR, pp.778-792, 2002.

M. Datar, P. Indyk, N. Immorlica, and V. S. Mirrokni, Locality-sensitive hashing scheme based on p-stable distributions Real-time localisation and mapping with wearable active vision, S. Computational geometry IS- MAR, pp.253-262, 2003.

M. Donoser, P. Kontschieder, and H. Bischof, Robust planar target tracking and pose estimation from a single concavity (21) N. Dowson and R. Bowden. Mutual information for lucaskanade tracking (MILK): An inverse compositional formulation, 22) T. Drummond and R. Cipolla. Real-time visual tracking of complex structures. TPAMI, pp.9-15180, 2002.

M. Fiala, ARTag, a Fiducial Marker System Using Digital Techniques, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.590-596, 2005.
DOI : 10.1109/CVPR.2005.74

M. A. Fischler, R. C. Bolles, S. Gauglitz, T. Höllerer, and M. Turk, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography Handbook of Augmented Reality Evaluation of interest point detectors and feature descriptors for visual tracking Shape recognition and pose estimation for mobile augmented reality, C. of ACM IJCV TVCG, vol.24, issue.171010, pp.381-395335, 1981.

C. Harris, M. Stephens-hsiao, A. Collet, and M. Hebert, (30) R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision Making specific features less discriminative to improve point-based 3d object recognition, Alvey Vision Conference CVPR, pp.147-151, 1988.

M. Irani and P. Anandan, Robust multi-sensor image alignment, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.959-966, 1998.
DOI : 10.1109/ICCV.1998.710832
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.2182

H. Kato and M. Billinghurst, Marker tracking and HMD calibration for a video-based augmented reality conferencing system, Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR'99), pp.85-94, 1999.
DOI : 10.1109/IWAR.1999.803809
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.7737

G. Klein and D. Murray, Full-3D Edge Tracking with a Particle Filter, Procedings of the British Machine Vision Conference 2006, pp.1119-1128, 2006.
DOI : 10.5244/C.20.114
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.380.1236

G. Klein, D. Murray, D. Kotake, K. Satoh, S. Uchiyama et al., Parallel tracking and mapping for small AR workspaces A hybrid and linear registration method utilizing inclination constraint A fast initialization method for edge-based registration using an inclination constraint, ISMAR ISMAR, pp.1-10, 2005.

W. Lee, Y. Park, V. Lepetit, and W. Woo, Point-and-shoot for ubiquitous tagging on mobile phones (40) V. Lepetit and P. Fua. Monocular model-based 3D tracking of rigid objects: A survey, ISMAR, pp.57-641, 2005.

V. Lepetit, P. Fua, S. Leutenegger, M. Chli, R. Y. Siegwar et al., Keypoint recognition using randomized trees, ICCV, pp.1465-147999, 1991.
DOI : 10.1109/TPAMI.2006.188
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.8088

). B. Lucas, T. Kanade, E. Mair, G. D. Hager, D. Burschka et al., An iterative image registration technique with an application to stereo vision. In I. C, Artificial intelligence Adaptive and generic corner detection based on the accelerated segment test, ECCV, pp.674-679, 1981.

J. Matas, O. Chum, M. Urban, T. Pajdla-)-k, T. Mikolajczyk et al., Robust wide baseline stereo from maximally stable extremal regions, BMVC, pp.43-72, 2002.
DOI : 10.5244/c.16.36
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.671.8241

M. Muja and D. G. Lowe, Fast approximate nearest neighbors with automatic algorithm configuration, VISSAPP, pp.331-340, 2009.

L. Naimark, E. Foxlin, T. Nakai, K. Kise, M. Iwamura et al., Use of affine invariants in locally likely arrangement hashing for camera-based document image retrieval. In I. W. Document Analysis Systems Kinectfusion: Real-time dense surface mapping and tracking Visual localisation in outdoor industrial building environments, ISMAR ICRA55) S. Ong, M. Yuan, and A. Nee. Augmented reality applications in manufacturing: a survey. I. J. Production Research, pp.27-36, 2002.

M. Ozuysal, M. Calonder, V. Lepetit, and P. Fua, Fast keypoint recognition using random ferns. TPAMI, pp.448-461, 2010.
DOI : 10.1109/tpami.2009.23
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.3919

G. Panin, A. Knoll, Y. Park, V. Lepetit, and W. Woo, Mutual Information-Based 3D Object Tracking, ISMAR59) Y. Park, V. Lepetit, and W. Woo ISMAR, pp.107-118, 2008.
DOI : 10.1007/s11263-007-0083-7

A. Mr-registration, B. A. Tracking, ´. E. Petit, K. Marchand, and . Kanani, Vision-based space autonomous rendezvous: A case study Virtually augmenting hundreds of real pictures: An approach based on learning, retrieval, and tracking, IROS VR, pp.619-624, 2010.

M. Pressigout and E. Marchand, Real-time Hybrid Tracking using Edge and Texture Information, The International Journal of Robotics Research, vol.26, issue.7, pp.689-713, 2007.
DOI : 10.1177/0278364907080477
URL : https://hal.archives-ouvertes.fr/inria-00350597

M. Pupilli and A. Calway, Real-Time Camera Tracking Using Known 3D Models and a Particle Filter, 18th International Conference on Pattern Recognition (ICPR'06), pp.199-203, 2006.
DOI : 10.1109/ICPR.2006.959

G. Reitmayr and T. W. Drummond, Going out: robust model-based tracking for outdoor augmented reality, 2006 IEEE/ACM International Symposium on Mixed and Augmented Reality, pp.109-118, 2006.
DOI : 10.1109/ISMAR.2006.297801

J. Rekimoto, R. Richa, R. Sznitman, R. Taylor, and G. Hager, Matrix: a realtime object identification and registration method for augmented reality Visual tracking using the sum of conditional variance, Asia Pacific Computer Human Interaction IROS, pp.63-68, 1998.

E. Rosten, R. Porter, and T. Drummond, Faster and Better: A Machine Learning Approach to Corner Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.1, pp.105-119, 2010.
DOI : 10.1109/TPAMI.2008.275

E. Rublee, V. Rabaud, K. Konolige, G. Bradski, C. Shannon et al., ORB: an efficient alternative to SIFT or SURF A mathematical theory of communication. SIG- MOBILE Mob An intermediate report of trakmark WG -international voluntary activities on establishing benchmark test schemes for AR/MR geometric registration and tracking methods Real-time visual tracking under arbitrary illumination changes, ICCV ISMAR CVPR73) C. V. Stewart. Robust parameter estimation in computer vision . SIAM Rev, pp.3-55, 1999.

G. Takacs, V. Ch, R. S. Tsai, D. Chen, R. Grzeszczuk et al., Unified real-time tracking and recognition with rotation-invariant fast features A survey of online monocular markerless augmented reality. I. J. Modeling and Simulation for the Petroleum Industry 3D modelbased tracking for UAV position control, CVPR IROS77) T. Tuytelaars and K. Mikolajczyk. Local invariant feature detectors: A survey. Foundations and Trends in Computer Graphics and Vision, pp.934-9411, 2007.

H. Uchiyama and E. Marchand, Toward augmenting everything: Detecting and tracking geometrical features on planar objects, 2011 10th IEEE International Symposium on Mixed and Augmented Reality, pp.17-25, 2011.
DOI : 10.1109/ISMAR.2011.6092366
URL : https://hal.archives-ouvertes.fr/hal-00639704

H. Uchiyama, H. Saito, S. Uchiyama, K. Takemoto, K. Satoh et al., Random dot markers MR platform: a basic body on which mixed reality applications are built Combining edge and texture information for real-time accurate 3D camera tracking A survey of augmented reality technologies, applications and limitations (83) P. Viola and W. Wells. Alignment by maximization of mutual information Robust and unobtrusive marker tracking on mobile phones, VR ISMAR ISMAR ISMAR Pose tracking from natural features on mobile phones. In ISMAR, pp.35-38, 1997.

D. Wagner, D. Schmalstieg, H. Wuest, F. Wientapper, and D. Stricker, ARToolKitPlus for pose tracking on mobile devices (87) D. Wanger. Handheld Augmented Reality Adaptable modelbased tracking using analysis-by-synthesis techniques, CAIP89) A. Yilmaz, O. Javed, and M. Shah. Object tracking: A survey, pp.139-146, 2006.