P. Beardsley, P. Torr, and A. Zisserman, 3D model acquisition from extended image sequences, p.96
DOI : 10.1007/3-540-61123-1_181

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.6271

D. C. Brown, The bundle adjustment ? progress and prospects . International Archive of Photogrammetry Update of " Evolution, Application and Potential of the Bundle Method of Photogrammetric Triangulation, ISP Symposium Commission III, vol.21, 1974.

V. Caselles and R. Kimmel, Minimal surfaces based object segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.4, pp.394-398, 1997.
DOI : 10.1109/34.588023

V. Caselles, R. Kimmel, and G. Sapiro, Geodesic active contours, Proceedings of IEEE International Conference on Computer Vision, pp.61-79, 1997.
DOI : 10.1109/ICCV.1995.466871

O. Faugeras, What can be seen in three dimensions with an uncalibrated stereo rig?, p.92
DOI : 10.1007/3-540-55426-2_61

O. Faugeras and R. Keriven, Complete dense stereovision using level set methods, p.98
DOI : 10.1007/BFb0055679

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.2185

O. Faugeras and Q. T. Luong, The Geometry of Multiple Images, 2001.

M. A. Fischler and R. C. Bolles, Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography, Graphics and Image Processing, vol.24, issue.6, pp.381-395, 1981.

A. W. Fitzgibbon, G. Cross, and A. Zisserman, Automatic 3D Model Construction for Turn-Table Sequences, p.98
DOI : 10.1007/3-540-49437-5_11

A. W. Fitzgibbon and A. Zisserman, Automatic camera recovery for closed or open image sequences, p.98
DOI : 10.1007/BFb0055675

P. Fua, Combining stereo and monocular information to compute dense depth maps that preserve discontinuities

C. Gauclin and T. Papadopoulos, Fundamental matrix estimation driven by stereo-correlation, p.0

J. Gomes and O. Faugeras, Pde-based stereo applied to human faces captures. Esprit, improofs 23-515 project, 1998.

C. Harris and M. Stephens, A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, pp.147-151, 1988.
DOI : 10.5244/C.2.23

R. I. Hartley, Euclidean reconstruction from uncalibrated views, Proceeding of the DARPA?ESPRIT workshop on Applications of Invariants in Computer Vision, 1993.
DOI : 10.1007/3-540-58240-1_13

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.1663

R. I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2000.
DOI : 10.1017/CBO9780511811685

A. Heyden, Geometry and Algebra of Multiple Projective Transformations, 1995.

M. Irani, P. Anandan, and S. Hsu, Mosaic based representations of video sequences and their applications, Proceedings of IEEE International Conference on Computer Vision, p.95
DOI : 10.1109/ICCV.1995.466883

T. Kanade, P. J. Narayanan, and P. W. Rander, Virtualized reality: concepts and early results, Proceedings IEEE Workshop on Representation of Visual Scenes (In Conjunction with ICCV'95), pp.69-76, 1995.
DOI : 10.1109/WVRS.1995.476854

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.7689

K. Kanatani, Statistical Optimisation for Geometric Computation: Theory and Practice, 1996.

Y. Kanazawa and K. Kanatani, Do we really have to consider covariance matrices for image features?, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001
DOI : 10.1109/ICCV.2001.937640

S. Kichenassamy, P. Olver, A. Kumar, and A. Tannenbaum, Gradient flows and geometric active contour models, Proceedings of IEEE International Conference on Computer Vision, p.95
DOI : 10.1109/ICCV.1995.466855

URL : https://hal.archives-ouvertes.fr/hal-00002665

S. Laveau, Géométrie d'un système de caméras. Théorie, estimation, et applications, Thèse de doctorat, ´ Ecole Polytechnique, 1996.

M. Lhuillier, Modélisation pour la synthèse d'imagesàimagesà partir d'images, Thèse de doctorat, INPG, 2000.

M. Lhuillier and L. Quan, Match propagation for image-based modeling and rendering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.8, pp.1140-1146, 2002.
DOI : 10.1109/TPAMI.2002.1023810

URL : https://hal.archives-ouvertes.fr/hal-00118524

M. Lhuillier and L. Quan, Quasi-Dense Reconstruction from Image Sequence, p.2
DOI : 10.1007/3-540-47967-8_9

M. Lhuillier and L. Quan, Surface reconstruction by integrating 3D and 2D data of multiple views, Proceedings Ninth IEEE International Conference on Computer Vision, p.3
DOI : 10.1109/ICCV.2003.1238642

URL : https://hal.archives-ouvertes.fr/hal-00118622

B. D. Lucas and T. Kanade, An iterative image registration technique with an application to stereo vision, p.81

P. F. Mclauchlan31-]-d, K. Morris, T. Kanatani, and . Kanade, Gauge Independence in Optimization Algorithms for 3D Vision, Uncertainty modeling for optimal structure from motion, 2000.
DOI : 10.1007/3-540-44480-7_12

D. Nister, Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal Tensors, p.0
DOI : 10.1007/3-540-45054-8_42

D. Nister, Automatic Dense Reconstruction from Uncalibrated Video Sequences, 2001.

Y. Ohta and T. Kanade, Stereo by intra and interscanline search using dynamic programming, IEEE TPAMI, vol.7, issue.2, pp.139-154, 1985.

S. Osher and J. A. Sethian, Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations, Journal of Computational Physics, vol.79, issue.1, pp.12-49, 1988.
DOI : 10.1016/0021-9991(88)90002-2

M. Pollefeys, R. Koch, and L. Van-gool, Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), p.98
DOI : 10.1109/ICCV.1998.710705

M. Pollefeys, R. Koch, M. Vergauwen, and L. Van-gool, Metric 3d surface reconstruction from uncalbrated image sequences, p.98

L. Quan, Invariants of six points and projective reconstruction from three uncalibrated images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.1, pp.34-46, 1995.
DOI : 10.1109/34.368154

URL : https://hal.archives-ouvertes.fr/inria-00590047

F. Schaffalitzky, A. Zisserman, R. Hartley, and P. H. Torr, A Six Point Solution for Structure and Motion, p.0
DOI : 10.1007/3-540-45054-8_41

A. Shashua, Trilinearity in visual recognition by alignment, p.94
DOI : 10.1007/3-540-57956-7_53

P. Sturm and B. Triggs, A factorization based algorithm for multi-image projective structure and motion, p.96
DOI : 10.1007/3-540-61123-1_183

URL : https://hal.archives-ouvertes.fr/inria-00525695

H. Tao, H. S. Sawhney, and R. Kumar, A global matching framework for stereo computation, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, p.1
DOI : 10.1109/ICCV.2001.937562

C. Tomasi and T. Kanade, Shape and motion from image streams under orthography: a factorization method, International Journal of Computer Vision, vol.4, issue.1, pp.137-154, 1992.
DOI : 10.1007/BF00129684

P. H. Torr and D. W. Murray, The development and comparison of robust methods for estimating the fundamental matrix, International Journal of Computer Vision, vol.24, issue.3, pp.271-300, 1997.
DOI : 10.1023/A:1007927408552

P. H. Torr and A. Zisserman, Robust parameterization and computation of the trifocal tensor, IVC, vol.5, issue.15, pp.591-605, 1997.

B. Triggs, Autocalibration and the absolute quadric, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOI : 10.1109/CVPR.1997.609388

URL : https://hal.archives-ouvertes.fr/inria-00548345

B. Triggs, P. F. Mclauchlan, R. I. Hartley, and A. Fitzgibbon, Bundle ajustment -a modern synthesis, LNCS, vol.1883
URL : https://hal.archives-ouvertes.fr/inria-00590128

Z. Zhang, R. Deriche, O. D. Faugeras, and Q. T. Luong, A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry, Artificial Intelligence, vol.78, issue.1-2, pp.87-119, 1995.
DOI : 10.1016/0004-3702(95)00022-4

URL : https://hal.archives-ouvertes.fr/inria-00074398

H. K. Zhao, B. Merrigan, S. Osher, and M. Kang, Implicit and non-parametric shape reconstruction from unorganized points using variational level set method, pp.295-319, 2000.

H. K. Zhao, S. Osher, and R. Fedkiw, Fast surface reconstruction using the level set method, IEEE Workshop on Variational and Level Set Methods in Computer Vision, 2001.