P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox, RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments, The International Journal of Robotics Research, vol.1883, issue.1, 2012.
DOI : 10.1023/A:1008854305733

Y. M. Kim, Multi-view image and ToF sensor fusion for dense 3D reconstruction, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009.
DOI : 10.1109/ICCVW.2009.5457430

M. D. Bergh and L. V. , Combining RGB and ToF cameras for real-time 3D hand gesture interaction, WACV, 2011.

G. D. Evangelidis, G. Singh, and R. Horaud, Continuous Gesture Recognition from Articulated Poses, ECCV Workshops, 2014.
DOI : 10.1007/978-3-319-16178-5_42
URL : https://hal.archives-ouvertes.fr/hal-01082981

J. Stückler and S. Behnke, Combining depth and color cues for scale- and viewpoint-invariant object segmentation and recognition using Random Forests, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010.
DOI : 10.1109/IROS.2010.5654338

M. Hansard, S. Lee, O. Choi, and R. Horaud, Time-of-flight cameras: principles, methods and applications, 2012.
DOI : 10.1007/978-1-4471-4658-2
URL : https://hal.archives-ouvertes.fr/hal-00725654

J. Geng, Structured-light 3D surface imaging: a tutorial, Advances in Optics and Photonics, pp.128-160, 2011.
DOI : 10.1364/AOP.3.000128.m001

R. Nair, A Survey on Time-of-Flight Stereo Fusion, Timeof-Flight and Depth Imaging. Sensors, Algorithms, and Applications, pp.105-127, 2013.
DOI : 10.1007/978-3-642-44964-2_6

S. A. Gudmundsson, H. Aanaes, and R. Larsen, Fusion of stereo vision and Time-Of-Flight imaging for improved 3D estimation, International Journal of Intelligent Systems Technologies and Applications, vol.5, issue.3/4, 2008.
DOI : 10.1504/IJISTA.2008.021305

U. Hahne and M. Alexa, Combining Time-Of-Flight depth and stereo images without accurate extrinsic calibration, International Journal of Intelligent Systems Technologies and Applications, vol.5, issue.3/4, pp.325-333, 2008.
DOI : 10.1504/IJISTA.2008.021295

J. Zhu, L. Wang, R. Yang, and J. Davis, Fusion of time-of-flight depth and stereo for high accuracy depth maps, CVPR, 2008.

J. Zhu, L. Wang, R. Yang, J. Davis, and Z. Pan, Reliability fusion of time-of-flight depth and stereo geometry for high quality depth maps, IEEE TPAMI, vol.33, issue.7, pp.1400-1414, 2011.

J. Fischer, G. Arbeiter, and A. Verl, Combination of Time-of-Flight depth and stereo using semiglobal optimization, 2011 IEEE International Conference on Robotics and Automation, 2011.
DOI : 10.1109/ICRA.2011.5979999

V. Gandhi, J. Cech, and R. Horaud, High-resolution depth maps based on TOF-stereo fusion, 2012 IEEE International Conference on Robotics and Automation, 2012.
DOI : 10.1109/ICRA.2012.6224771
URL : https://hal.archives-ouvertes.fr/hal-00725616

K. Ruhl, F. Klose, C. Lipski, and M. Magnor, Integrating approximate depth data into dense image correspondence estimation, Proceedings of the 9th European Conference on Visual Media Production, CVMP '12, 2012.
DOI : 10.1145/2414688.2414692

R. Nair, F. Lenzen, S. Meister, H. Schäfer, C. Garbe et al., High accuracy tof and stereo sensor fusion at interactive rates, ECCV Workshops, 2012.

C. Dal-mutto, P. Zanuttigh, S. Mattoccia, and G. Cortelazzo, Locally Consistent ToF and Stereo Data Fusion, ECCV Workshop (CDC4CV), 2012.
DOI : 10.1007/978-3-642-33863-2_62

M. Hansard, G. Evangelidis, Q. Pelorson, R. Horaud, J. Cech et al., Crosscalibration of time-of-flight and colour cameras Efficient sampling of disparity space for fast and accurate matching, BenCOS Workshop-CVPR, 2007.

A. Geiger, M. Roser, and R. Urtasun, Efficient Large-Scale Stereo Matching, ACCV, 2010.
DOI : 10.1007/BFb0014497
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.175.889

D. Scharstein and R. Szeliski, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), 2002.
DOI : 10.1109/SMBV.2001.988771

R. Szeliski, A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.6, 2008.
DOI : 10.1109/TPAMI.2007.70844

K. J. Yoon and I. S. Kweon, Adaptive support-weight approach for correspondence search, IEEE TPAMI, vol.28, issue.4, 2006.

C. Rhemann, A. Hosni, M. Bleyer, C. Rother, and M. Gelautz, Fast cost-volume filtering for visual correspondence and beyond, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995372

Q. Yang, A non-local cost aggregation method for stereo matching, CVPR, 2012.

Q. Yang, L. Wang, and N. Ahuja, A constant-space belief propagation algorithm for stereo matching, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539797

A. F. Bobick and S. S. Intille, Large occlusion stereo, 1999.

M. Bleyer, C. Rhemann, and C. Rother, PatchMatch Stereo - Stereo Matching with Slanted Support Windows, Procedings of the British Machine Vision Conference 2011, 2011.
DOI : 10.5244/C.25.14
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.7107

Q. Yang, R. Yang, J. Davis, and D. Nistér, Spatial-Depth Super Resolution for Range Images, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383211

E. Z. Psarakis and G. D. Evangelidis, An enhanced correlation-based method for stereo correspondence with sub-pixel accuracy, ICCV, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00864387

C. Tomasi and R. Manduchi, Bilateral filtering for gray and color images, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1998.
DOI : 10.1109/ICCV.1998.710815
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.2091

J. Kopf, M. F. Cohen, D. Lischinski, and M. Uyttendaele, Joint bilateral upsampling, 2007.
DOI : 10.1145/1275808.1276497
URL : http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-66178

K. Kuhnert and M. Stommel, Fusion of Stereo-Camera and PMD-Camera Data for Real-Time Suited Precise 3D Environment Reconstruction, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006.
DOI : 10.1109/IROS.2006.282349

G. Van-meerbergen, M. Vergauwen, M. Pollefeys, and L. Van-gool, A hierarchical symmetric stereo algorithm using dynamic programming, pp.1-3, 2002.

L. Wang and R. Yang, Global stereo matching leveraged by sparse ground control points, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995480

M. Hansard, R. Horaud, M. Amat, S. Lee, S. Foix et al., Projective alignment of range and parallax data Lock-in time-of-flight (tof) cameras: A survey, CVPR, 2011.

M. Reynolds, J. Dobo?, L. Peel, T. Weyrich, and G. J. Brostow, Capturing Time-of-Flight data with confidence, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995550

G. Petschnigg, Digital photography with flash and no-flash image pairs, ACM Transactions on Graphics, vol.23, issue.3, pp.664-672, 2004.
DOI : 10.1145/1015706.1015777

R. Adams and L. Bischof, Seeded region growing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.6, pp.641-647, 1994.
DOI : 10.1109/34.295913

H. P. Moravec, Toward automatic visual obstacle avoidance, IJCAI, 1977.

G. Egnal, M. Mintz, and R. P. Wildes, A stereo confidence metric using single view imagery with comparison to five alternative approaches, Image and Vision Computing, vol.22, issue.12, pp.943-957, 2004.
DOI : 10.1016/j.imavis.2004.03.018

O. M. Aodha, A. Humayun, M. Pollefeys, and G. J. Brostow, Learning a Confidence Measure for Optical Flow, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.5, pp.1107-1120, 2013.
DOI : 10.1109/TPAMI.2012.171

J. Sun, Y. Li, S. B. Kang, and H. Shum, Symmetric stereo matching for occlusion handling, CVPR, 2005.

P. Chou and C. Brown, The theory and practice of bayessian image labeling, pp.185-210, 1990.

J. Besag, Statistical analysis of dirty pictures*, Journal of Applied Statistics, vol.6, issue.5-6, pp.259-302, 1986.
DOI : 10.1016/0031-3203(83)90012-2

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE TPAMI, pp.1222-1239, 2001.
DOI : 10.1109/iccv.1999.791245
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806

D. Scharstein and C. Pal, Learning Conditional Random Fields for Stereo, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383191

S. Birchfield and C. Tomasi, A pixel dissimilarity measure that is insensitive to image sampling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.4, 1998.
DOI : 10.1109/34.677269

V. Kolmogorov and R. Zabih, Computing visual correspondence with occlusions using graph cuts, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001.
DOI : 10.1109/ICCV.2001.937668
URL : http://ce.sharif.edu/~elno/disparitymap/Papers/KZ-ICCV01.pdf