H. Álvarez and D. Borro, Junction assisted 3D pose retrieval of untextured 3D models in monocular images, Computer Vision and Image Understanding, vol.117, issue.10, pp.1204-1214, 2013.
DOI : 10.1016/j.cviu.2012.08.012

H. G. Barrow, J. M. Tenenbaum, R. C. Bolles, and H. C. Wolf, Parametric correspondence and chamfer matching: Two new techniques for image matching, 1977.

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

S. Benhimane and E. Malis, Real-time image-based tracking of planes using efficient second-order minimization, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), pp.943-948, 2004.
DOI : 10.1109/IROS.2004.1389474

J. Berkmann and T. Caelli, Computation of surface geometry and segmentation using covariance techniques . Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.16, issue.11, pp.1114-1116, 1994.

G. Borgefors, Distance transformations in digital images Computer vision, graphics, and image processing, pp.344-371, 1986.

G. Bradski and A. Kaehler, Learning OpenCV: Computer vision with the OpenCV library, 2008.

M. Calonder, V. Lepetit, C. Strecha, and P. Fua, BRIEF: Binary Robust Independent Elementary Features, Computer Vision?ECCV 2010, pp.778-792, 2010.
DOI : 10.1007/978-3-642-15561-1_56

J. Canny, A computational approach to edge detection . Pattern Analysis and Machine Intelligence, IEEE Transactions on, issue.6, pp.679-698, 1986.

L. Cruz, D. Lucio, and L. Velho, Kinect and RGBD Images: Challenges and Applications, 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images Tutorials, pp.36-49, 2012.
DOI : 10.1109/SIBGRAPI-T.2012.13

D. Bimbo, A. Franco, F. Pernici, and F. , Local Homography Estimation Using Keypoint Descriptors, Analysis, Retrieval and Delivery of Multimedia Content, pp.203-217, 2013.
DOI : 10.1007/978-1-4614-3831-1_12

M. Donoser, P. Kontschieder, and H. Bischof, Robust planar target tracking and pose estimation from a single concavity, 2011 10th IEEE International Symposium on Mixed and Augmented Reality, pp.9-15, 2011.
DOI : 10.1109/ISMAR.2011.6092365

E. Eyjolfsdottir and M. Turk, Multisensory embedded pose estimation, 2011 IEEE Workshop on Applications of Computer Vision (WACV), pp.23-30, 2011.
DOI : 10.1109/WACV.2011.5711479

S. Falahati, OpenNI Cookbook, 2013.

D. Gossow, D. Weikersdorfer, and M. Beetz, Distinctive texture features from perspective-invariant keypoints, Pattern Recognition (ICPR), 2012 21st International Conference on, pp.2764-2767, 2012.

N. Hagbi, O. Bergig, J. El-sana, and M. Billinghurst, Shape recognition and pose estimation for mobile augmented reality, Mixed and Augmented Reality 8th IEEE International Symposium on, pp.65-71, 2009.

R. M. Haralick, Lg shapiro. computer and robot vision, 1992.

C. Harris and M. Stephens, A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, p.50, 1988.
DOI : 10.5244/C.2.23

R. Hartley and A. Zisserman, Multiple view geometry in computer vision, 2003.
DOI : 10.1017/CBO9780511811685

S. Hinterstoisser, S. Benhimane, N. Navab, P. Fua, and V. Lepetit, Online learning of patch perspective rectification for efficient object detection, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
DOI : 10.1109/CVPR.2008.4587514

S. Hinterstoisser, S. Holzer, C. Cagniart, S. Ilic, K. Konolige et al., Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes, 2011 International Conference on Computer Vision, pp.858-865, 2011.
DOI : 10.1109/ICCV.2011.6126326

S. Hinterstoisser, O. Kutter, N. Navab, P. Fua, and V. Lepetit, Real-time learning of accurate patch rectification, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.2945-2952, 2009.
DOI : 10.1109/CVPR.2009.5206794

S. Hinterstoisser, V. Lepetit, S. Ilic, P. Fua, and N. Navab, Dominant orientation templates for real-time detection of texture-less objects, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2257-2264, 2010.
DOI : 10.1109/CVPR.2010.5539908

A. Hofhauser, C. Steger, and N. Navab, Edge-Based Template Matching and Tracking for Perspectively Distorted Planar Objects, Advances in Visual Computing, pp.35-44, 2008.
DOI : 10.1007/978-3-540-89639-5_4

S. Holzer, S. Hinterstoisser, S. Ilic, and N. Navab, Distance transform templates for object detection and pose estimation, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.1177-1184, 2009.
DOI : 10.1109/CVPR.2009.5206777

K. Konolige, Projected texture stereo, 2010 IEEE International Conference on Robotics and Automation, pp.148-155, 2010.
DOI : 10.1109/ROBOT.2010.5509796

K. Koser and R. Koch, Perspectively Invariant Normal Features, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007.
DOI : 10.1109/ICCV.2007.4408837
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.155.4620

D. Kurz and S. Benhimane, Gravity-aware handheld Augmented Reality, 2011 10th IEEE International Symposium on Mixed and Augmented Reality, pp.111-120, 2011.
DOI : 10.1109/ISMAR.2011.6092376

K. Lai, L. Bo, X. Ren, and D. Fox, A large-scale hierarchical multi-view RGB-D object dataset, 2011 IEEE International Conference on Robotics and Automation, pp.1817-1824, 2011.
DOI : 10.1109/ICRA.2011.5980382

W. Lee, N. Park, and W. Woo, Depth-assisted realtime 3d object detection for augmented reality, pp.126-132, 2011.

V. Lepetit, P. Lagger, and P. Fua, Randomized Trees for Real-Time Keypoint Recognition, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.775-781, 2005.
DOI : 10.1109/CVPR.2005.288

S. Lieberknecht, S. Benhimane, P. Meier, and N. Navab, A dataset and evaluation methodology for template-based tracking algorithms, 2009 8th IEEE International Symposium on Mixed and Augmented Reality, pp.145-151, 2009.
DOI : 10.1109/ISMAR.2009.5336487

J. P. Lima, F. Simoes, H. Uchiyama, V. Teichrieb, and E. Marchand, Depth-assisted rectification of patches using rgb-d consumer devices to improve real-time keypoint matching, Int. Conf. on Computer Vision Theory and Applications, pp.651-656, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00829930

J. P. Lima, V. Teichrieb, H. Uchiyama, and E. Marchand, Object detection and pose estimation from natural features using consumer rgb-d sensors: Applications in augmented reality, IEEE Int. Symp. on Mixed and Augmented Reality (doctoral symposium), ISMAR'12, pp.1-4, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00750617

J. P. Lima, H. Uchiyama, V. Teichrieb, and E. Marchand, Texture-less planar object detection and pose estimation using depth-assisted rectification of contours, Mixed and Augmented Reality (ISMAR), 2012 IEEE International Symposium on, pp.297-298, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00750604

M. Y. Liu, O. Tuzel, A. Veeraraghavan, and R. Chellappa, Fast directional chamfer matching, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1696-1703, 2010.
DOI : 10.1109/CVPR.2010.5539837
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.2724

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://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

M. Marcon, E. Frigerio, A. Sarti, and S. Tubaro, wide baseline correspondences using depth-maps, Signal Processing: Image Communication, vol.27, issue.8, pp.3-849, 2012.

S. Martedi, B. Thomas, and H. Saito, Region-based tracking using sequences of relevance measures, 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp.1-6, 2013.
DOI : 10.1109/ISMAR.2013.6671834

J. Matas, O. Chum, M. Urban, and T. Pajdla, Robust wide baseline stereo from maximally stable extremal regions, Proceedings of the British Machine Vision Conference, pp.384-393, 2002.
DOI : 10.5244/c.16.36
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.671.8241

K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas et al., A Comparison of Affine Region Detectors, International Journal of Computer Vision, vol.65, issue.1-2, pp.43-72, 2005.
DOI : 10.1007/s11263-005-3848-x
URL : https://hal.archives-ouvertes.fr/inria-00548528

J. M. Morel and G. Yu, ASIFT: A New Framework for Fully Affine Invariant Image Comparison, SIAM Journal on Imaging Sciences, vol.2, issue.2, pp.438-469, 2009.
DOI : 10.1137/080732730

T. Morwald, A. Richtsfeld, J. Prankl, M. Zillich, and M. Vincze, Geometric data abstraction using bsplines for range image segmentation, Robotics and Automation (ICRA), 2013 IEEE International Conference on, pp.148-153, 2013.

R. A. Newcombe, A. J. Davison, S. Izadi, P. Kohli, O. Hilliges et al., KinectFusion: Real-time dense surface mapping and tracking, 2011 10th IEEE International Symposium on Mixed and Augmented Reality, pp.127-136, 2011.
DOI : 10.1109/ISMAR.2011.6092378
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.100

M. Ozuysal, P. Fua, and V. Lepetit, Fast Keypoint Recognition in Ten Lines of Code, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383123

A. Pagani and D. Stricker, Learning Local Patch Orientation with a Cascade of Sparse Regressors, Procedings of the British Machine Vision Conference 2009, pp.1-11, 2009.
DOI : 10.5244/C.23.86

Y. Park, V. Lepetit, and W. Woo, Texture-less object tracking with online training using an RGB-D camera, 2011 10th IEEE International Symposium on Mixed and Augmented Reality, pp.121-126, 2011.
DOI : 10.1109/ISMAR.2011.6092377

E. Rosten and T. Drummond, URL http://goo.gl/cEYyaG 49 Machine learning for high-speed corner detection, Computer Vision? ECCV 2006, pp.430-443, 2006.

E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, ORB: An efficient alternative to SIFT or SURF, 2011 International Conference on Computer Vision, pp.2564-2571, 2011.
DOI : 10.1109/ICCV.2011.6126544

R. B. Rusu and S. Cousins, 3d is here: Point cloud library (pcl) In: Robotics and Automation (ICRA), IEEE International Conference on, pp.1-4, 2011.

J. Shotton, A. Blake, and R. Cipolla, Multiscale categorical object recognition using contour fragments. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.30, issue.7, pp.1270-1281, 2008.
DOI : 10.1109/tpami.2007.70772

S. Suzuki, Topological structural analysis of digitized binary images by border following, Computer Vision, Graphics, and Image Processing, vol.30, issue.1, pp.32-46, 1985.
DOI : 10.1016/0734-189X(85)90016-7

S. Taylor and T. Drummond, Multiple Target Localisation at over 100 FPS, Procedings of the British Machine Vision Conference 2009, pp.1-11, 2009.
DOI : 10.5244/C.23.58
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.5131

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

J. I. Woodfill, G. Gordon, and R. Buck, Tyzx DeepSea High Speed Stereo Vision System, 2004 Conference on Computer Vision and Pattern Recognition Workshop, pp.41-41, 2004.
DOI : 10.1109/CVPR.2004.469
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.7741

C. Wu, B. Clipp, X. Li, J. M. Frahm, and M. Pollefeys, 3d model matching with viewpoint-invariant patches (vip) In: Computer Vision and Pattern Recognition, CVPR 2008. IEEE Conference on, pp.1-8, 2008.

M. Y. Yang, Y. Cao, W. Förstner, and J. Mcdonald, Robust Wide Baseline Scene Alignment Based on 3D Viewpoint Normalization, Advances in Visual Computing, pp.654-665, 2010.
DOI : 10.1007/978-3-642-17289-2_63

B. Zeisl, K. Köser, and M. Pollefeys, Viewpoint Invariant Matching via Developable Surfaces, Computer Vision?ECCV 2012. Workshops and Demonstrations, pp.62-71, 2012.
DOI : 10.1007/978-3-642-33868-7_7

B. Zeisl, K. Koser, and M. Pollefeys, Automatic Registration of RGB-D Scans via Salient Directions, 2013 IEEE International Conference on Computer Vision, pp.2808-2815, 2013.
DOI : 10.1109/ICCV.2013.349