C. Ancuti, C. O. Ancuti, and P. Bekaert, Video super-resolution using high quality photographs, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.862-865, 2010.
DOI : 10.1109/icassp.2010.5495223

H. Dana and . Ballard, Generalizing the Hough transform to detect arbitrary shapes, Pattern recognition, vol.13, pp.111-122, 1981.

S. Berkiten, M. Halber, J. Solomon, C. Ma, H. Li et al., Learning Detail Transfer based on Geometric Features, Computer Graphics Forum, Proceedings Eurographics, 2017.
DOI : 10.1111/cgf.13132

P. J. Besl and N. D. Mckay, A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.2, pp.239-256, 1992.
DOI : 10.1109/34.121791

P. Bhat, C. L. Zitnick, N. Snavely, A. Agarwala, M. Agrawala et al., Using Photographs to Figure 7: Failure case: large motion are not handled well by our method. Left: Lidar Scan. Depth sensor frames (top row) and corresponding corrected frames, 2007.

, Enhance Videos of a Static Scene, Proceedings of the 18th Eurographics Conference on Rendering Techniques (EGSR'07). Eurographics Association, pp.327-338

D. Bradley, W. Heidrich, T. Popa, and A. Sheffer, High Resolution Passive Facial Performance Capture, ACM Trans. on Graphics (Proc. SIGGRAPH), vol.29, p.3, 2010.

C. Herrera, J. Kannala, and J. Heikkilã?, Joint Depth and Color Camera Calibration with Distortion Correction, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.10, pp.2058-2064, 2012.

Y. Caspi and M. Irani, Spatio-Temporal Alignment of Sequences, IEEE Trans. Pattern Anal. Mach. Intell, vol.24, pp.1409-1424, 2002.

S. Clarkson, J. Wheat, B. Heller, S. Webster, and . Choppin, Distortion correction of depth data from consumer depth cameras. 3D Body Scanning Technologies, pp.426-437, 2013.

J. Davis, D. Nehab, R. Ramamoorthi, and S. Rusinkiewicz, Spacetime Stereo: A Unifying Framework for Depth from Triangulation, IEEE Trans. Pattern Anal. Mach. Intell, vol.27, pp.296-302, 2005.

O. Richard, P. E. Duda, and . Hart, Use of the Hough transformation to detect lines and curves in pictures, Commun. ACM, vol.15, pp.11-15, 1972.

D. Fleet and Y. Weiss, Optical Flow Estimation, pp.237-257, 2006.

A. Gupta, P. Bhat, M. Dontcheva, O. Deussen, B. Curless et al., Enhancing and Experiencing Spacetime Resolution with Videos and Stills, International Conference on Computational Photography, 2008.

B. Haefner, Y. Quã?au, T. Mã?llenhoff, and D. Cremers, Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
URL : https://hal.archives-ouvertes.fr/hal-02118545

A. Hamdi-cherif, J. Digne, and C. R. , Super-resolution of Point Set Surfaces using Local Similarities, Computer Graphics Forum, vol.37, pp.60-70, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01521806

E. Herbst, X. Ren, and D. Fox, RGB-D flow: Dense 3-D motion estimation using color and depth, 2013 IEEE International Conference on Robotics and Automation, pp.2276-2282, 2013.

F. Huguet and F. Devernay, A Variational Method for Scene Flow Estimation from Stereo Sequences, IEEE 11th International Conference on Computer Vision. 1-7, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00262139

Y. Kil, B. Mederos, and N. Amenta, Laser Scanner Super-resolution, Proc. Point-Based Graphics (SPBG'06, pp.9-16, 2006.

T. P. Koninckx and L. Van-gool, Real-time range acquisition by adaptive structured light, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.3, pp.432-445, 2006.
DOI : 10.1109/tpami.2006.62

D. Liu, J. Gu, Y. Hitomi, M. Gupta, T. Mitsunaga et al., Efficient Space-Time Sampling with Pixel-Wise Coded Exposure for High-Speed Imaging, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.2, pp.248-260, 2014.

J. Niloy, S. Mitra, M. Flöry, N. Ovsjanikov, L. Gelfand et al., Dynamic Geometry Registration, Proc. Symposium on Geometry Processing (SGP '07). Eurographics, pp.173-182, 2007.

J. Quiroga, T. Brox, F. Devernay, and J. Crowley, Dense semi-rigid scene flow estimation from RGBD images, European Conference on Computer Vision (ECCV), 2014.
DOI : 10.1007/978-3-319-10584-0_37

URL : https://hal.archives-ouvertes.fr/hal-01021925

D. Rohmer, T. Popa, M. Cani, S. Hahmann, and A. Sheffer, Animation Wrinkling: Augmenting Coarse Cloth Simulations with Realisticlooking Wrinkles, ACM SIGGRAPH Asia, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00516411

E. Shechtman, Y. Caspi, and M. Irani, Space-time super-resolution, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, pp.531-545, 2005.

T. Weise, S. Bouaziz, H. Li, and M. Pauly, Realtime Performancebased Facial Animation, ACM Trans. Graph, vol.30, 2011.
DOI : 10.1145/1964921.1964972

T. Weise, B. Leibe, and L. Van-gool, Fast 3D Scanning with Automatic Motion Compensation, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/cvpr.2007.383291

L. Zhang, B. Curless, and S. M. Seitz, Spacetime Stereo: Shape Recovery for Dynamic Scenes, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.367-374, 2003.

L. Zhang, N. Snavely, B. Curless, and S. M. Seitz, Spacetime Faces: High Resolution Capture for Modeling and Animation, ACM Trans. Graph, vol.23, pp.548-558, 2004.
DOI : 10.1007/978-1-84628-907-1_13

URL : http://grail.cs.washington.edu/projects/stfaces/sgraph04/paper.pdf

S. Zhang, Recent progresses on real-time 3D shape measurement using digital fringe projection techniques, Optics and Lasers in Engineering, vol.48, pp.149-158, 2010.
DOI : 10.1016/j.optlaseng.2009.03.008