C. Espace, zone colorée correspond à l'ensemble des couleurs représentables par l'espace sRGB, la frontière noire à l'ensemble des couleurs visibles par l'oeil humain, p.31

". Extérieur-ombre, Capture (extérieur) et simulation (intérieur) de la configuration, p.56

E. H. Adelson and J. R. Bergen, The plenoptic function and the elements of early vision, Computational Models of Visual Processing, vol.1, pp.3-20, 1991.

E. H. Adelson and J. Y. Wang, Single lens stereo with a plenoptic camera, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.2, 1992.
DOI : 10.1109/34.121783

M. Aittala, Inverse lighting and photorealistic rendering for augmented reality. The Visual Computer, pp.669-678, 2010.

A. Bleiweiss and M. Werman, Fusing Time-of-Flight Depth and Color for Real-Time Segmentation and Tracking, 2009.
DOI : 10.4304/jmm.3.2.28-36

Y. Boykov and G. Funka-lea, Graph cuts and efficient n-d image segmentation. Computer Vision, 2004.

Y. Boykov and V. Kolmogorov, An experimental comparison of min-cut/maxflow algorithms for energy minimization in vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002.

Y. Boykov and O. Veksler, Graph Cuts in Vision and Graphics: Theories and Applications, 2006.
DOI : 10.1007/0-387-28831-7_5

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE International Conference on Computer Vision, 1999.

A. Bugeau and P. Pérez, Detection and segmentation of moving objects in complex scenes, Computer Vision and Image Understanding, vol.113, issue.4, 2008.
DOI : 10.1016/j.cviu.2008.11.005

URL : https://hal.archives-ouvertes.fr/hal-00522620

J. Chen, G. Turk, and B. Macintyre, Watercolor inspired non-photorealistic rendering for augmented reality, Proceedings of the 2008 ACM symposium on Virtual reality software and technology, VRST '08, pp.231-234, 2008.
DOI : 10.1145/1450579.1450629

B. V. Cherkassky and A. V. Goldberg, On implementing push-relabel method for the maximum flow problem, 1997.

D. Comaniciu and P. Meer, Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5, 2002.
DOI : 10.1109/34.1000236

R. Crabb, C. Tracey, A. Puranik, and J. Davis, Real-time foreground segmentation via range and color imaging, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008.
DOI : 10.1109/CVPRW.2008.4563170

M. Cristani and V. Murino, Background subtraction with adaptive spatiotemporal neighborhood analysis, VISAPP International Conference on Computer Vision Theory and Applications, pp.484-489, 2008.

G. Cutri, G. Naccarato, and E. Pantano, Mobile Cultural Heritage: The Case Study of Locri, International conference on Technologies for E-Learning and Digital Entertainment, 2008.
DOI : 10.1007/978-3-540-69736-7_44

P. E. Debevec, Rendering synthetic objects into real scenes : Bridging traditional and image-based graphics with global illumination and high dynamic range photography, 1998.

P. E. Debevec, T. Hawkins, C. Tchou, H. Duiker, W. Sarokin et al., Acquiring the reflectance field of a human face, Proceedings of the 27th annual conference on Computer graphics and interactive techniques , SIGGRAPH '00, pp.145-156, 2000.
DOI : 10.1145/344779.344855

P. E. Debevec and J. Malik, Recovering high dynamic range radiance maps from photographs, Computer Graphics, 1997.

N. Dixit, R. Keriven, and N. Paragios, GPU-Cuts : combinatorial optimisation, graphic processing units and adaptive object extraction, 2005.

O. Duchenne and J. Audibert, Fast interactive segmentation using color and textural information, 2006.

A. Elgammal, D. Harwood, and L. S. Davis, Non-parametric Model for Background Subtraction, European Conference on Computer Vision, pp.751-767, 2000.
DOI : 10.1007/3-540-45053-X_48

H. Farid and E. P. Simoncelli, Range estimation by optical differentiation, Journal of the Optical Society of America A, vol.15, issue.7, 1997.
DOI : 10.1364/JOSAA.15.001777

J. Fischer, D. Bartz, and W. Strasser, Stylized augmented reality for improved immersion, IEEE Proceedings. VR 2005. Virtual Reality, 2005., pp.195-202, 2005.
DOI : 10.1109/VR.2005.1492774

L. Ford and D. Fulkerson, Flows in network, 1962.

Y. Fu, J. Cheng, Z. Li, and H. Lu, Saliency cuts : An automatic approach to object segmentation, 2008.

J. Gallego, M. Pardàs, and G. Haro, Bayesian foreground segmentation and tracking using pixel-wise background model and region based foreground model, 2009 16th IEEE International Conference on Image Processing (ICIP), 2009.
DOI : 10.1109/ICIP.2009.5414380

A. V. Goldberg and R. E. Tarjan, A new approach to the maximum-flow problem, JACM, 1988.

G. Gordon, T. Darrel, M. Harville, and J. Woodfill, Background estimation and removal based on range and color, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 1999.
DOI : 10.1109/CVPR.1999.784721

W. Grimson, Computational Experiments with a Feature Based Stereo Algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.7, issue.1, 1984.
DOI : 10.1109/TPAMI.1985.4767615

P. Haeberli, Synthetic lighting for photography, 1992.

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, 2008.
DOI : 10.1504/IJISTA.2008.021295

M. Haller, Photorealism or/and non-photorealism in augmented reality, Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry, VRCAI '04, 2004.
DOI : 10.1145/1044588.1044627

M. Harville, G. Gordon, and J. Woodfill, Adaptive video background modeling using color and depth, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001.
DOI : 10.1109/ICIP.2001.958058

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.2059

M. Harville, G. Gordon, and J. Woodfill, Foreground segmentation using adaptive mixture models in color and depth, Proceedings IEEE Workshop on Detection and Recognition of Events in Video, 2001.
DOI : 10.1109/EVENT.2001.938860

T. Horprasert, D. Harwood, and L. S. Davis, A statistical approach for realtime robust background subtraction and shadow detection, IEEE International Conference on Computer Vision, 1999.

M. Inanici and J. Galvin, Evaluation of high dynamic range photography as a luminance mapping technique, 2004.
DOI : 10.2172/841925

Y. Ivanov, A. Bobick, and J. Liu, Fast lighting independent background subtraction, Proceedings 1998 IEEE Workshop on Visual Surveillance, 1998.
DOI : 10.1109/WVS.1998.646020

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.3453

P. Kaewtrakulpong and R. Rowden, An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection, Proceedings of the Second European Workshop on Advanced Video Based Surveillance Systems, pp.149-158, 2001.
DOI : 10.1007/978-1-4615-0913-4_11

T. Kakuta, T. Oishi, and K. Ikeuchi, Fast shading and shadowing and handling occlusions for asuka-kyo MR contents, 2009.

T. Kanade, H. Kano, and S. Kimura, Development of a video-rate stereo machine, IROS, 1995.

T. Kanade and M. Okutomi, A stereo matching algorithm with an adaptive window : theory and experiment, 1994.
DOI : 10.1109/robot.1991.131738

URL : http://repository.cmu.edu/cgi/viewcontent.cgi?article=2956&context=compsci

D. A. Kerr, New measures of the sensitivity of a digital camera, 2007.

J. Kim, V. Kolmogorov, and R. Zabih, Visual correspondence using energy minimization and mutual information, 2003.

Y. Kim, B. Cho, B. Kang, and D. Hong, Color temperature conversion system and method using the same, 2006.

T. Ko, S. Soatto, and D. Estrin, Warping background subtraction, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539813

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.176.6126

V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, and C. Rother, Bi-layer segmentation of binocular stereo video, 2005.

V. Kolmogorov and R. Zabih, Computing visual correspondence with occlusions via graph cuts, IEEE International Conference on Computer Vision, 2001.

V. Kolmogorov and R. Zabih, What energy functions can be minimized via graph cuts ?, 2004.

J. C. Lalonde, A. A. Efros, and S. G. Narasimhan, Estimating natural illumination from a single outdoor image, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459163

D. Lee, J. Ahn, and C. Kim, Fast background subtraction algorithm using two-level sampling and silhouette detection, 2009 16th IEEE International Conference on Image Processing (ICIP), 2009.
DOI : 10.1109/ICIP.2009.5414397

J. Leens, S. Piérard, and O. Barnich, Combining Color, Depth, and Motion for Video Segmentation, 2009.
DOI : 10.1007/978-3-642-04667-4_11

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.1675

V. Lempitsky, P. Kohli, and T. Sharp, Image segmentation with a bounding box prior, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459262

A. Levin, R. Fergus, F. Durand, and W. T. Freeman, Image and depth from a conventional camera with a coded aperture, 2007.

J. Lewis, Fast normalized cross-correlation. Vision Interface, 1995.

D. Liu, K. Pulli, L. G. Shapiro, and Y. Xiong, Fast interactive image segmentation by disciminative clustering, 2010.

Y. Liu, X. Qin, S. Xu, E. Nakamae, and Q. Peng, Light source estimation of outdoor scenes for mixed reality. The Visual Computer, pp.637-646, 2009.

L. Matthies and T. Kanade, Kalman filter-based algorithms for estimating depth from image sequences. Computer Vision, 1989.

P. Milgram and H. C. Jr, A Taxonomy of Real and Virtual World Display Integration, International Symposium on Mixed Reality, 1999.
DOI : 10.1007/978-3-642-87512-0_1

A. Mittal and N. Paragios, Motion-based background subtraction using adaptive kernel density estimation, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.302-309, 2004.
DOI : 10.1109/CVPR.2004.1315179

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.480

T. Muller, J. Roger, and J. Sanchez, Illumination photo-realiste interactive en environnement distant, 2003.

R. Ng, M. Levoy, M. Bredif, G. Duval, M. Horowitz et al., Light field photography with a hand-held plenoptic camera, 2005.

J. S. Nimeroff, E. P. Simoncelli, and J. Dorsey, Efficient Re-rendering of Naturally Illuminated Environments, p.106, 1994.
DOI : 10.1007/978-3-642-87825-1_27

P. Noriega and O. Bernier, Real Time Illumination Invariant Background Subtraction Using Local Kernel Histograms, Procedings of the British Machine Vision Conference 2006, pp.979-988, 2006.
DOI : 10.5244/C.20.100

S. Pessoa, G. Moura, J. Lima, V. Teichried, and J. Kelner, Photorealistic rendering for Augmented Reality: A global illumination and BRDF solution, 2010 IEEE Virtual Reality Conference (VR), pp.3-10, 2010.
DOI : 10.1109/VR.2010.5444836

J. Pilet, C. Strecha, and P. Fua, Making Background Subtraction Robust to Sudden Illumination Changes, 2008.
DOI : 10.1007/978-3-540-88693-8_42

M. Planck, The theory of heat radiation, 1914.

S. B. Pollard, J. E. Mayhew, and J. P. Frisby, PMF: A Stereo Correspondence Algorithm Using a Disparity Gradient Limit, Perception, vol.181, issue.4, 1985.
DOI : 10.1068/p140449

A. Prati, I. Mikic, M. M. Trivedi, and R. Cucchiara, Detecting moving shadows : Algorithms and evaluation. Transaction on Pattern Analysis and Machine Intelligence, 2003.
DOI : 10.1109/tpami.2003.1206520

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.7949

G. Reitmay and T. W. Drummond, Going out : Robust model-based tracking for outdoor augmented reality, International Symposium on Mixed and Augmented Reality, pp.109-118, 2006.

M. Robart, Simulation des interactions lumière -matière pour la modélisation de la réflectance par ondelettes en synthèse d'images réalistes, 1999.

C. Rother, V. Kolmogorov, and A. Blake, GrabCut" -interactive foreground extraction using iterated graph cuts, 2003.

D. Scharstein and R. Szeliski, Stereo matching with non-linear diffusion, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996.
DOI : 10.1109/CVPR.1996.517095

P. Schröder and W. Sweldens, Spherical wavelets, Proceedings of the 22nd annual conference on Computer graphics and interactive techniques , SIGGRAPH '95, pp.161-172, 1995.
DOI : 10.1145/218380.218439

D. Sharstein 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), 2001.
DOI : 10.1109/SMBV.2001.988771

J. Shin, R. Grasset, H. Seichter, and M. Billinghurst, A mixed-reality rendering framework for photorealistic and non-photorealistic rendering, 2008.

B. Shoushtarian and H. E. Bez, A practical adaptive approach for dynamic background subtraction using an invariant colour model and object tracking, Pattern Recognition Letters, vol.26, issue.1, pp.5-26, 2004.
DOI : 10.1016/j.patrec.2004.07.013

P. Sloan, J. Kautz, and J. Snyder, Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighthing environments, 2002.

C. Stauffer and W. Grimson, Adaptive background mixture models for realtime tracking, IEEE International Conference on Computer Vision and Pattern Recognition, pp.246-252, 1998.
DOI : 10.1109/cvpr.1999.784637

L. D. Stefano, M. Marchionni, S. Mattoccia, and G. Neri, A fast area-based stereo matching algorithm, Image and Vision Computing, vol.22, issue.12, 2002.
DOI : 10.1016/j.imavis.2004.03.009

J. K. Suhr, H. G. Jung, G. Li, and J. Kim, Mixture of gaussians-based background subtraction for bayer-pattern image sequences. Transactions on Circuits and Systems for Video Technology, 2011.

T. Thalwitzer, Max-Flow Min-Cut, 2009.

Q. Tian and M. N. Huhns, Algorithms for subpixel registration, Computer Vision, Graphics, and Image Processing, 1986.
DOI : 10.1016/0734-189X(86)90028-9

D. Van-krevelen and R. Poelman, A survey of augmented reality technologies, applications and limitations, International Journal of Virtual Reality, 2010.

A. Veeraraghavan, R. Raskar, A. Agrawal, A. Mohan, and J. Tumblin, Dappled photography : Mask enhanced cameras for heterodyned light fields and coded aperture refocusing, 2007.

S. Vicente, V. Kolmogorov, and C. Rother, Graph cut based image segmentation with connectivity priors, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587440

J. A. Vijverberg, M. J. Loomans, C. J. Koeleman, and P. H. De-with, Global Illumination Compensation for Background Subtraction Using Gaussian-Based Background Difference Modeling, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009.
DOI : 10.1109/AVSS.2009.101

V. Vineet and P. Narayanan, CudaCuts : fast graph cuts on the GPU, 2008.

L. Wang, C. Zhang, R. Yang, and C. Zhang, TofCut : towards robust real-time foreground extraction using a time-of-flight camera, 2009.

T. Wong, P. Heng, S. Or, and W. Ng, Image-based Rendering with Controllable Illumination, Eurographics Workshop, vol.97, pp.13-22, 1997.
DOI : 10.1007/978-3-7091-6858-5_2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.304

J. Xiao and M. Shah, Accurate motion layer segmentation and matting, 2005.

B. Zhong, S. Liu, H. Yao, and B. Zhang, Multi-resolution background subtraction for dynamic scenes, 2009.

Z. Zivkovic, Improved adaptive Gaussian mixture model for background subtraction, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004.
DOI : 10.1109/ICPR.2004.1333992

M. Zoellner, Virtual museum guide, 2010.

M. Zoellner, D. Stricker, G. Bleser, and Y. Pastarmov, iTacitus -novel interaction and tracking paradigms for mobile AR. VAST, 2007.