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Olivier Faugeras, Ph.D. - Publications

Affiliations: 
INRIA 
Area:
Mathematical Neuroscience, Stochastic Calculus, Mean-Field Theory, Bifurcation Theory, Visual Perception
Website:
http://scholar.google.com/citations?user=_PhjyLoAAAAJ&hl=en

168 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Bressloff PC, Ermentrout B, Faugeras O, Thomas PJ. Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the Special Issue. Journal of Mathematical Neuroscience. 6: 4. PMID 27043152 DOI: 10.1186/s13408-016-0036-y  0.6
2015 Bossy M, Faugeras O, Talay D. Clarification and Complement to "Mean-Field Description and Propagation of Chaos in Networks of Hodgkin-Huxley and FitzHugh-Nagumo Neurons". Journal of Mathematical Neuroscience. 5: 31. PMID 26329321 DOI: 10.1186/s13408-015-0031-8  0.6
2015 Veltz R, Chossat P, Faugeras O. On the Effects on Cortical Spontaneous Activity of the Symmetries of the Network of Pinwheels in Visual Area V1. Journal of Mathematical Neuroscience. 5: 23. PMID 26055523 DOI: 10.1186/s13408-015-0023-8  0.6
2015 Fasoli D, Faugeras O, Panzeri S. A formalism for evaluating analytically the cross-correlation structure of a firing-rate network model. Journal of Mathematical Neuroscience. 5: 6. PMID 25852981 DOI: 10.1186/s13408-015-0020-y  0.6
2015 Faugeras O, Inglis J. Stochastic neural field equations: a rigorous footing. Journal of Mathematical Biology. 71: 259-300. PMID 25069787 DOI: 10.1007/s00285-014-0807-6  0.6
2015 Faugeras O, MacLaurin J. Asymptotic description of neural networks with correlated synaptic weights Entropy. 17: 4701-4743. DOI: 10.3390/e17074701  0.6
2014 Faugeras O, Thieullen M. Editorial for the special issue on uncertainty in the brain. Journal of Mathematical Neuroscience. 4: 7. PMID 24742109 DOI: 10.1186/2190-8567-4-7  0.6
2014 Rankin J, Meso AI, Masson GS, Faugeras O, Kornprobst P. Bifurcation study of a neural field competition model with an application to perceptual switching in motion integration. Journal of Computational Neuroscience. 36: 193-213. PMID 24014258 DOI: 10.1007/s10827-013-0465-5  0.6
2014 Faugeras O, MacLaurin J. A large deviation principle and an expression of the rate function for a discrete stationary Gaussian process Entropy. 16: 6722-6738. DOI: 10.3390/e16126722  0.6
2014 Faugeras O, MacLaurin J. A representation of the relative entropy with respect to a diffusion process in terms of its infinitesimal generator Entropy. 16: 6705-6721. DOI: 10.3390/e16126705  0.6
2014 Faugeras O, Maclaurin J. Asymptotic description of stochastic neural networks. I. Existence of a large deviation principle Comptes Rendus Mathematique. 352: 841-846. DOI: 10.1016/j.crma.2014.08.018  0.6
2014 Faugeras O, Maclaurin J. Asymptotic description of stochastic neural networks. II. Characterization of the limit law Comptes Rendus Mathematique. 352: 847-852. DOI: 10.1016/j.crma.2014.08.017  0.6
2013 Rankin J, Tlapale E, Veltz R, Faugeras O, Kornprobst P. Bifurcation analysis applied to a model of motion integration with a multistable stimulus. Journal of Computational Neuroscience. 34: 103-24. PMID 22870848 DOI: 10.1007/s10827-012-0409-5  0.6
2013 Veltz R, Faugeras O. A center manifold result for delayed neural fields equations Siam Journal On Mathematical Analysis. 45: 1527-1562. DOI: 10.1137/110856162  0.6
2012 Baladron J, Fasoli D, Faugeras O, Touboul J. Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons. Journal of Mathematical Neuroscience. 2: 10. PMID 22657695 DOI: 10.1186/2190-8567-2-10  0.6
2012 Galtier MN, Faugeras OD, Bressloff PC. Hebbian learning of recurrent connections: a geometrical perspective. Neural Computation. 24: 2346-83. PMID 22594830 DOI: 10.1162/NECO_a_00322  0.6
2012 Touboul J, Hermann G, Faugeras O. Noise-induced behaviors in neural mean field dynamics Siam Journal On Applied Dynamical Systems. 11: 49-81. DOI: 10.1137/110832392  0.6
2012 Baladron Pezoa J, Fasoli D, Faugeras O. Three applications of GPU computing in neuroscience Computing in Science and Engineering. 14: 40-47. DOI: 10.1109/MCSE.2011.119  0.6
2012 Faugeras O. Neural fields models of visual areas: Principles, successes, and caveats Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7583: 474-479. DOI: 10.1007/978-3-642-33863-2_48  0.6
2011 Touboul J, Wendling F, Chauvel P, Faugeras O. Neural mass activity, bifurcations, and epilepsy. Neural Computation. 23: 3232-86. PMID 21919787 DOI: 10.1162/NECO_a_00206  0.6
2011 Touboul JD, Faugeras OD. A Markovian event-based framework for stochastic spiking neural networks. Journal of Computational Neuroscience. 31: 485-507. PMID 21499739 DOI: 10.1007/s10827-011-0327-y  0.6
2011 Deneux T, Faugeras O, Takerkart S, Masson GS, Vanzetta I. A new variational method for erythrocyte velocity estimation in wide-field imaging in vivo. Ieee Transactions On Medical Imaging. 30: 1527-45. PMID 21427018 DOI: 10.1109/TMI.2011.2131151  0.6
2011 Chossat P, Faye G, Faugeras O. Bifurcation of hyperbolic planforms Journal of Nonlinear Science. 21: 465-498. DOI: 10.1007/s00332-010-9089-3  0.6
2011 Tlapale E, Kornprobst P, Masson GS, Faugeras O. A Neural Field Model for Motion Estimation Springer Proceedings in Mathematics. 5: 159-179. DOI: 10.1007/978-3-642-19604-1_9  0.6
2010 Deneux T, Faugeras O. EEG-fMRI fusion of paradigm-free activity using Kalman filtering. Neural Computation. 22: 906-48. PMID 20028225 DOI: 10.1162/neco.2009.05-08-793  0.6
2010 Veitz R, Faugeras O. Local/global analysis of the stationary solutions of some neural field equations Siam Journal On Applied Dynamical Systems. 9: 954-998. DOI: 10.1137/090773611  0.6
2010 Faye G, Faugeras O. Some theoretical and numerical results for delayed neural field equations Physica D: Nonlinear Phenomena. 239: 561-578. DOI: 10.1016/j.physd.2010.01.010  0.6
2009 Chossat P, Faugeras O. Hyperbolic planforms in relation to visual edges and textures perception. Plos Computational Biology. 5: e1000625. PMID 20046839 DOI: 10.1371/journal.pcbi.1000625  0.6
2009 Faugeras O, Veltz R, Grimbert F. Persistent neural states: stationary localized activity patterns in nonlinear continuous n-population, q-dimensional neural networks. Neural Computation. 21: 147-87. PMID 19431281 DOI: 10.1162/neco.2008.12-07-660  0.6
2009 Faugeras O, Touboul J, Cessac B. A constructive mean-field analysis of multi-population neural networks with random synaptic weights and stochastic inputs. Frontiers in Computational Neuroscience. 3: 1. PMID 19255631 DOI: 10.3389/neuro.10.001.2009  0.6
2008 Touboul J, Faugeras O. A characterization of the first hitting time of double integral processes to curved boundaries Advances in Applied Probability. 40: 501-528. DOI: 10.1239/aap/1214950214  0.6
2007 Touboul J, Faugeras O. The spikes trains probability distributions: a stochastic calculus approach. Journal of Physiology, Paris. 101: 78-98. PMID 18054210 DOI: 10.1016/j.jphysparis.2007.10.008  0.6
2007 Kybic J, Faugeras O, Clerc M, Papadopoulo T. Neural mass model parameter identification for MEG/EEG Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6511. DOI: 10.1117/12.709146  0.6
2007 Charpiat G, Faugeras O, Keriven R. Shape statistics for image segmentation with prior Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. DOI: 10.1109/CVPR.2007.383009  0.6
2007 Charpiat G, Maurel P, Pons JP, Keriven R, Faugeras O. Generalized gradients: Priors on minimization flows International Journal of Computer Vision. 73: 325-344. DOI: 10.1007/s11263-006-9966-2  0.6
2007 Pons JP, Keriven R, Faugeras O. Multi-view stereo reconstruction and scene flow estimation with a global image-based matching score International Journal of Computer Vision. 72: 179-193. DOI: 10.1007/s11263-006-8671-5  0.6
2006 Grimbert F, Faugeras O. Bifurcation analysis of Jansen's neural mass model. Neural Computation. 18: 3052-68. PMID 17052158 DOI: 10.1162/neco.2006.18.12.3052  0.6
2006 Deneux T, Faugeras O. Using nonlinear models in fMRI data analysis: model selection and activation detection. Neuroimage. 32: 1669-89. PMID 16844388 DOI: 10.1016/j.neuroimage.2006.03.006  0.6
2006 Kybic J, Clerc M, Faugeras O, Keriven R, Papadopoulo T. Generalized head models for MEG/EEG: boundary element method beyond nested volumes. Physics in Medicine and Biology. 51: 1333-46. PMID 16481698 DOI: 10.1088/0031-9155/51/5/021  0.6
2006 Maurel P, Keriven R, Faugeras O. Reconciling landmarks and level sets Proceedings - International Conference On Pattern Recognition. 4: 69-72. DOI: 10.1109/ICPR.2006.979  0.6
2006 Prados E, Camilli F, Faugeras O. A viscosity solution method for shape-from-shading without image boundary data Mathematical Modelling and Numerical Analysis. 40: 393-412. DOI: 10.1051/m2an:2006018  0.6
2006 Pons JP, Hermosillo G, Keriven R, Faugeras O. Maintaining the point correspondence in the level set framework Journal of Computational Physics. 220: 339-354. DOI: 10.1016/j.jcp.2006.05.036  0.6
2006 Paragios N, Faugeras O. International Journal of Computer Vision: Editorial International Journal of Computer Vision. 69: 5-6. DOI: 10.1007/s11263-006-6860-x  0.6
2006 Prados E, Camilli F, Faugeras O. A unifying and rigorous shape from shading method adapted to realistic data and applications Journal of Mathematical Imaging and Vision. 25: 307-328. DOI: 10.1007/s10851-006-6899-x  0.6
2006 Lenglet C, Rousson M, Deriche R, Faugeras O. Statistics on the manifold of multivariate normal distributions: Theory and application to diffusion tensor MRI processing Journal of Mathematical Imaging and Vision. 25: 423-444. DOI: 10.1007/s10851-006-6897-z  0.6
2006 Pons JP, Keriven R, Faugeras O. Modelling non-rigid dynamic scenes from multi-view image sequences Handbook of Mathematical Models in Computer Vision. 439-452. DOI: 10.1007/0-387-28831-7_27  0.6
2006 Prados E, Faugeras O. Shape from shading Handbook of Mathematical Models in Computer Vision. 375-388. DOI: 10.1007/0-387-28831-7_23  0.6
2006 Paragios N, Chen Y, Faugeras O. Handbook of mathematical models in computer vision Handbook of Mathematical Models in Computer Vision. 1-605. DOI: 10.1007/0-387-28831-7  0.6
2006 Charpiat G, Faugeras O, Keriven R, Maurel P. Distance-based shape statistics Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5: V925-V928.  0.6
2006 Vanzetta I, Deneux T, Masson G, Faugeras O. Cerebral blood flow recorded at high sensitivity in two dimensions using high resolution optical imaging 2006 3rd Ieee International Symposium On Biomedical Imaging: From Nano to Macro - Proceedings. 2006: 1264-1267.  0.6
2006 Deneux T, Faugeras O. EEG-fMRI fusion of non-triggered data using Kalman filtering 2006 3rd Ieee International Symposium On Biomedical Imaging: From Nano to Macro - Proceedings. 2006: 1068-1071.  0.6
2005 Lenglet C, Rousson M, Deriche R, Faugeras O, Lehericy S, Ugurbil K. A Riemannian approach to diffusion tensor images segmentation. Information Processing in Medical Imaging : Proceedings of the ... Conference. 19: 591-602. PMID 17354728  0.6
2005 Kybic J, Clerc M, Faugeras O, Keriven R, Papadopoulo T. Fast multipole acceleration of the MEG/EEG boundary element method. Physics in Medicine and Biology. 50: 4695-710. PMID 16177498 DOI: 10.1088/0031-9155/50/19/018  0.6
2005 Kybic J, Clerc M, Abboud T, Faugeras O, Keriven R, Papadopoulo T. A common formalism for the integral formulations of the forward EEG problem. Ieee Transactions On Medical Imaging. 24: 12-28. PMID 15638183 DOI: 10.1109/TMI.2004.837363  0.6
2005 Charpiat G, Keriven R, Pons JP, Faugeras O. Designing spatially coherent minimizing flows for variational problems based on active contours Proceedings of the Ieee International Conference On Computer Vision. 1403-1408. DOI: 10.1109/ICCV.2005.69  0.6
2005 Charpiat G, Faugeras O, Keriven R. Image statistics based on diffeomorphic matching Proceedings of the Ieee International Conference On Computer Vision. 852-857. DOI: 10.1109/ICCV.2005.118  0.6
2005 Prados E, Faugeras O. Shape from shading: A well-posed problem? Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 870-877. DOI: 10.1109/CVPR.2005.319  0.6
2005 Pons JP, Keriven R, Faugeras O. Modelling dynamic scenes by registering multi-view image sequences Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 822-827. DOI: 10.1109/CVPR.2005.227  0.6
2005 Charpiat G, Faugeras O, Keriven R. Approximations of shape metrics and application to shape warping and empirical shape statistics Foundations of Computational Mathematics. 5: 1-58. DOI: 10.1007/s10208-003-0094-x  0.6
2005 Paragios N, Faugeras O, Chan T, Schnoerr C. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics: Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3752: V.  0.6
2004 Thirion B, Faugeras O. Feature characterization in fMRI data: the Information Bottleneck approach. Medical Image Analysis. 8: 403-19. PMID 15567705 DOI: 10.1016/j.media.2004.09.001  0.6
2004 Faugeras O, Adde G, Charpiat G, Chefd'hotel C, Clerc M, Deneux T, Deriche R, Hermosillo G, Keriven R, Kornprobst P, Kybic J, Lenglet C, Lopez-Perez L, Papadopoulo T, Pons JP, et al. Variational, geometric, and statistical methods for modeling brain anatomy and function. Neuroimage. 23: S46-55. PMID 15501100 DOI: 10.1016/j.neuroimage.2004.07.015  0.6
2004 Faugeras O, Hermosillo G. Well-posedness of two nonrigid multimodal image registration methods Siam Journal On Applied Mathematics. 64: 1550-1587. DOI: 10.1137/S0036139903424904  0.6
2004 Chefd'hotel C, Tschumperlé D, Deriche R, Faugeras O. Regularizing Flows for Constrained Matrix-Valued Images Journal of Mathematical Imaging and Vision. 20: 147-162. DOI: 10.1023/B:JMIV.0000011324.14508.fb  0.6
2004 Thirion B, Faugeras O. Dynamical components analysis of FMRI data: A second order solution Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2809: 552-563. DOI: 10.1007/978-3-540-45210-2_50  0.6
2004 Peeters RR, Kornprobst P, Nikolova M, Sunaert S, Vieville T, Malandain G, Deriche R, Faugeras O, Ng M, Van Hecke P. The use of super-resolution techniques to reduce slice thickness in functional MRI International Journal of Imaging Systems and Technology. 14: 131-138. DOI: 10.1002/ima.20016  0.6
2004 Thirion B, Faugeras O. Nonlinear dimension reduction of fMri data: The laplacian embedding approach 2004 2nd Ieee International Symposium On Biomedical Imaging: Macro to Nano. 1: 372-375.  0.6
2004 Prados E, Faugeras O. Unifying approaches and removing unrealistic assumptions in shape from shading: Mathematics can help Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3024: 141-154.  0.6
2004 Lenglet C, Deriche R, Faugeras O. Inferring white matter geometry from diffusion tensor MRI: Application to connectivity mapping Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3024: 127-140.  0.6
2004 Kokkinos I, Deriche R, Maragos P, Faugeras O. A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3022: 506-517.  0.6
2004 Pons JP, Keriven R, Faugeras O. Area preserving cortex unfolding Lecture Notes in Computer Science. 3216: 376-383.  0.6
2003 Adde G, Clerc M, Faugeras O, Keriven R, Kybic J, Papadopoulo T. Symmetric BEM formulation for the M/EEG forward problem. Information Processing in Medical Imaging : Proceedings of the ... Conference. 18: 524-35. PMID 15344485  0.6
2003 Thirion B, Faugeras O. Dynamical components analysis of fMRI data through kernel PCA. Neuroimage. 20: 34-49. PMID 14527568 DOI: 10.1016/S1053-8119(03)00316-1  0.6
2003 Fize D, Vanduffel W, Nelissen K, Denys K, Chef d'Hotel C, Faugeras O, Orban GA. The retinotopic organization of primate dorsal V4 and surrounding areas: A functional magnetic resonance imaging study in awake monkeys. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 23: 7395-406. PMID 12917375  0.6
2003 Aubert G, Barlaud M, Faugeras O, Jehan-Besson S. Image segmentation using active contours: Calculus of variations or shape gradients? Siam Journal On Applied Mathematics. 63: 2128-2154. DOI: 10.1137/S0036139902408928  0.6
2003 Gomes J, Faugeras O. The vector distance functions International Journal of Computer Vision. 52: 161-187. DOI: 10.1023/A:1022956108418  0.6
2003 Charpiat G, Faugeras O, Keriven R. Shape metrics, warping and statistics Ieee International Conference On Image Processing. 2: 627-630.  0.6
2003 Pons JP, Hermosillo G, Keriven R, Faugeras O. How to deal with point correspondences and tangential velocities in the level set framework Proceedings of the Ieee International Conference On Computer Vision. 2: 894-899.  0.6
2003 Pons JP, Keriven R, Faugeras O, Hermosillo G. Variational stereovision and 3D scene flow estimation with statistical similarity measures Proceedings of the Ieee International Conference On Computer Vision. 1: 597-602.  0.6
2003 Jehan-Besson S, Barlaud M, Aubert G, Faugeras O. Shape gradients for histogram segmentation using active contours Proceedings of the Ieee International Conference On Computer Vision. 1: 408-415.  0.6
2003 Prados E, Faugeras O. "Perspective shape from shading" and viscosity solutions Proceedings of the Ieee International Conference On Computer Vision. 2: 826-831.  0.6
2003 Thirion B, Faugeras O. Feature detection in fMRI data: The information bottleneck approach Lecture Notes in Computer Science. 2879: 83-91.  0.6
2002 Hermosillo G, Chefd C, Faugeras O. Variational methods for multimodal image matching International Journal of Computer Vision. 50: 329-343. DOI: 10.1023/A:1020830525823  0.6
2002 Faugeras O, Perona P, Sapiro G. Special issue on partial differential equations in image processing, computer vision, and computer graphics Journal of Visual Communication and Image Representation. 13: 1-2. DOI: 10.1006/jvci.2002.0505  0.6
2002 Prados E, Faugeras O, Rouy E. Shape from shading and viscosity solutions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2351: 790-804.  0.6
2002 Chefd’Hotel C, Tschumperlé D, Deriche R, Faugeras O. Constrained flows of matrix-valued functions: Application to diffusion tensor regularization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2350: 251-265.  0.6
2001 Lorigo LM, Faugeras OD, Grimson WE, Keriven R, Kikinis R, Nabavi A, Westin CF. CURVES: curve evolution for vessel segmentation. Medical Image Analysis. 5: 195-206. PMID 11524226 DOI: 10.1016/S1361-8415(01)00040-8  0.6
2001 Delamarre Q, Faugeras O. 3D articulated models and multiview tracking with physical forces Computer Vision and Image Understanding. 81: 328-357. DOI: 10.1006/cviu.2000.0892  0.6
2001 Thirion B, Faugeras O. Revisiting non-parametric activation detection on fMRI time series Proceedings of the Workshop On Mathematical Methods in Biomedical Image Analysis. 121-128.  0.6
2001 Hermosillo G, Faugeras O. Dense image matching with global and local statistical criteria: A variational approach Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: I73-I78.  0.6
2001 Devernay F, Faugeras O. Straight lines have to be straight Machine Vision and Applications. 13: 14-24.  0.6
2001 Gomes J, Faugeras O. Using the vector distance functions to evolve manifolds of arbitrary codimension Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2106: 1-13.  0.6
2000 Faugeras O, Quan L, Strum P. Self-calibration of a 1D projective camera and its application to the self-calibration of a 2D projective camera Ieee Transactions On Pattern Analysis and Machine Intelligence. 22: 1179-1185. DOI: 10.1109/34.879801  0.6
2000 Gomes J, Faugeras O. Reconciling distance functions and level sets Journal of Visual Communication and Image Representation. 11: 209-223. DOI: 10.1006/jvci.1999.0439  0.6
2000 Gomes J, Faugeras O. Segmentation of the inner and outer surfaces of the human cortex: An approach based on partial differential equations Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 3: 1764-1774.  0.6
2000 Gomes J, Faugeras O. Level sets and distance functions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1842: 588-602.  0.6
2000 Anandan P, Faugeras O, Hartley R, Malik J, Mundy J. Summary of the panel session Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1883: 376-382.  0.6
1999 Csurka G, Faugeras O. Algebraic and geometric tools to compute projective and permutation invariants Ieee Transactions On Pattern Analysis and Machine Intelligence. 21: 58-65. DOI: 10.1109/34.745735  0.6
1999 Gomes J, Faugeras O. Segmentation of the inner and outer surfaces of the cortex in man and monkey: An approach based on Partial Differential Equations Neuroimage. 9: S152.  0.6
1999 Hermosillo G, Faugeras O, Gomes J. Unfolding the cerebral cortex using level set methods Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1682: 58-69.  0.6
1998 Faugeras O, Keriven R. Variational principles, surface evolution, PDE's, level set methods, and the stereo problem. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 7: 336-44. PMID 18276253 DOI: 10.1109/83.661183  0.6
1998 Delamarre Q, Faugeras O. Finding pose of hand in video images: A stereo-based approach Proceedings - 3rd Ieee International Conference On Automatic Face and Gesture Recognition, Fg 1998. 585-590. DOI: 10.1109/AFGR.1998.671011  0.6
1998 Papadopoulo T, Faugeras O. A new characterization of the trifocal tensor Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1406: 109-123. DOI: 10.1007/BFb0055662  0.6
1998 Faugeras O, Papadopoulo T. Nonlinear method for estimating the projective geometry of 3 views Proceedings of the Ieee International Conference On Computer Vision. 477-484.  0.6
1998 Luong QT, Faugeras OD. On the Determination of Epipoles Using Cross-Ratios Computer Vision and Image Understanding. 71: 1-18.  0.6
1998 Faugeras O, Papadopoulo T. Grassmann-Cayley algebra for modelling systems of cameras and the algebraic equations of the manifold of trifocal tensors Philosophical Transactions of the Royal Society a: Mathematical, Physical and Engineering Sciences. 356: 1123-1152.  0.6
1998 Faugeras O, Robert L, Laveau S, Csurka G, Zeller C, Gauclin C, Zoghlami I. 3-D Reconstruction of Urban Scenes from Image Sequences Computer Vision and Image Understanding. 69: 292-309.  0.6
1998 Csurka G, Faugeras O. Computing three dimensional project invariants from a pair of images using the Grassmann-Cayley algebra Image and Vision Computing. 16: 3-12.  0.6
1997 Deriche R, Bouvin C, Faugeras OD. A level-set approach for stereo Proceedings of Spie - the International Society For Optical Engineering. 2942: 150-161. DOI: 10.1117/12.267171  0.6
1997 Navab N, Faugeras OD. The critical sets of lines for camera displacement estimation: A mixed euclidean-projective and constructive approach International Journal of Computer Vision. 23: 17-44.  0.6
1997 Luong QT, Faugeras OD. Self-Calibration of a Moving Camera from Point Correspondences and Fundamental Matrices International Journal of Computer Vision. 22: 261-289.  0.6
1997 Csurka G, Zeller C, Zhang Z, Faugeras OD. Characterizing the Uncertainty of the Fundamental Matrix Computer Vision and Image Understanding. 68: 18-36.  0.6
1997 Rothwell C, Faugeras O, Csurka G. A Comparison of Projective Reconstruction Methods for Pairs of Views Computer Vision and Image Understanding. 68: 37-58.  0.6
1997 Zoghlami I, Faugeras O, Deriche R. Using geometric corners to build a 2D mosaic from a set of images Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 420-425.  0.6
1996 Zhang Z, Luong QT, Faugeras O. Motion of an uncalibrated stereo rig: Self-calibration and metric reconstruction Ieee Transactions On Robotics and Automation. 12: 103-113. DOI: 10.1109/70.481754  0.6
1996 Viéville T, Faugeras OD. The first order expansion of motion equations in the uncalibrated case Computer Vision and Image Understanding. 64: 128-146. DOI: 10.1006/cviu.1996.0049  0.6
1996 Luong QT, Faugeras OD. The fundamental matrix: Theory, algorithms, and stability analysis International Journal of Computer Vision. 17: 43-75.  0.6
1996 Viéville T, Faugeras O, Luong QT. Motion of points and lines in the uncalibrated case International Journal of Computer Vision. 17: 7-41.  0.6
1996 Leymarie F, de la Fortelle A, Koenderink JJ, Kappers AML, Stavridi M, van Ginneken B, Muller S, Krake S, Faugeras O, Robert L, Gauclin C, Laveau S, Zeller C. Realise: reconstruction of reality from image sequences Ieee International Conference On Image Processing. 3: 651-654.  0.6
1996 Faugeras O, Robert L. What can two images tell us about a third one? International Journal of Computer Vision. 18: 5-19.  0.6
1996 Laveau S, Faugeras O. Oriented projective geometry for computer vision Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1064: 147-156.  0.6
1995 Zhang Z, Deriche R, Faugeras O, Luong QT. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry Artificial Intelligence. 78: 87-119. DOI: 10.1016/0004-3702(95)00022-4  0.6
1995 Faugeras O, Mourrain B. About the correspondences of points between N images Proceedings of the Ieee Workshop On Representation of Visual Scenes. 37-44.  0.6
1995 Rothwell C, Csurka G, Faugeras O. Comparison of projective reconstruction methods for pairs of views Ieee International Conference On Computer Vision. 932-937.  0.6
1995 Vieville T, Faugeras OD. Motion analysis with a camera with unknown, and possibly varying intrinsic parameters Ieee International Conference On Computer Vision. 750-756.  0.6
1994 Viéville T, Faugeras O. Robust and fast computation of edge characteristics in image sequences International Journal of Computer Vision. 13: 153-179. DOI: 10.1007/BF01427150  0.6
1994 Zhang Z, Faugeras OD. Finding Planes and Clusters of Objects from 3D Line Segments with Application to 3D Motion Determination Computer Vision and Image Understanding. 60: 267-284. DOI: 10.1006/cviu.1994.1063  0.6
1994 Zeller C, Faugeras O. Applications of non-metric vision to some visual guided tasks Intelligent Vehicles Symposium, Proceedings. 351-356.  0.6
1994 Devernay F, Faugeras OD. Computing differential properties of 3-D shapes from stereoscopic images without 3-D models Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 208-213.  0.6
1993 Faugeras O, Papadopoulo T. A theory of the motion fields of curves International Journal of Computer Vision. 10: 125-156. DOI: 10.1007/BF01420734  0.6
1993 Faugeras O. Computer vision research at INRIA International Journal of Computer Vision. 10: 91-99. DOI: 10.1007/BF01420732  0.6
1993 Luong QT, Faugeras OD. Determining the Fundamental matrix with planes: instability and new algorithms Ieee Computer Vision and Pattern Recognition. 489-494.  0.6
1993 Vieville T, Romann F, Hotz B, Mathieu H, Buffa M, Robert L, Facao PEDS, Faugeras OD, Audren JT. Autonomous navigation of a mobile robot using inertial and visual cues 1993 International Conference On Intelligent Robots and Systems. 360-367.  0.6
1992 Zhang Z, Faugeras OD. Estimation of Displacements from Two 3-D Frames Obtained from Stereo Ieee Transactions On Pattern Analysis and Machine Intelligence. 14: 1141-1156. DOI: 10.1109/34.177380  0.6
1992 Vaillant R, Faugeras OD. Using Extremal Boundaries for 3-D Object Modeling Ieee Transactions On Pattern Analysis and Machine Intelligence. 14: 157-173. DOI: 10.1109/34.121787  0.6
1992 Maybank SJ, Faugeras OD. A theory of self-calibration of a moving camera International Journal of Computer Vision. 8: 123-151. DOI: 10.1007/BF00127171  0.6
1992 Zhang Z, Faugeras OD. Three-dimensional motion computation and object segmentation in a long sequence of stereo frames International Journal of Computer Vision. 7: 211-241. DOI: 10.1007/BF00126394  0.6
1992 Boissier L, Hotz B, Proy C, Faugeras O, Fua P. Autonomous planetary rover (V.A.P.): On-board perception system concept and stereovision by correlation approach Proceedings - Ieee International Conference On Robotics and Automation. 1: 181-186.  0.6
1992 Faugeras O, Mundy J, Ahuja N, Dyer C, Pentland A, Jain R, Ikeuchi K, Bowyer K. Why aspect graphs are not (yet) practical for computer vision Cvgip: Image Understanding. 55: 212-218.  0.6
1991 Zhang Z, Faugeras OD. Determining motion from 3D line segment matches: a comparative study Image and Vision Computing. 9: 10-19. DOI: 10.1016/0262-8856(91)90043-O  0.6
1990 Liu Y, Huang TS, Faugeras OD. Determination of Camera Location from 2-D to 3-D Line and Point Correspondences Ieee Transactions On Pattern Analysis and Machine Intelligence. 12: 28-37. DOI: 10.1109/34.41381  0.6
1990 Deriche R, Faugeras O. Tracking line segments Image and Vision Computing. 8: 261-270. DOI: 10.1016/0262-8856(90)80002-B  0.6
1990 Faugeras OD, Bras-Mehlman EL, Boissonnat JD. Representing stereo data with the Delaunay triangulation Artificial Intelligence. 44: 41-87. DOI: 10.1016/0004-3702(90)90098-K  0.6
1990 Faugeras OD, Maybank S. Motion from point matches: Multiplicity of solutions International Journal of Computer Vision. 4: 225-246. DOI: 10.1007/BF00054997  0.6
1989 Ayache N, Faugeras OD. Maintaining Representations of the Environment of a Mobile Robot Ieee Transactions On Robotics and Automation. 5: 804-819. DOI: 10.1109/70.88101  0.6
1989 Huang TS, Faugeras OD. Some Properties of the E Matrix in Two-View Motion Estimation Ieee Transactions On Pattern Analysis and Machine Intelligence. 11: 1310-1312. DOI: 10.1109/34.41368  0.6
1989 Mitiche A, Faugeras O, Aggarwal JK. Counting straight lines Computer Vision, Graphics and Image Processing. 47: 353-360. DOI: 10.1016/0734-189X(89)90117-5  0.6
1989 Vaillant R, Faugeras OD. Using occluding contours for recovering shape properties of objects . 26-32.  0.6
1988 Liu Y, Huang TS, Faugeras OD. Determination of camera location from 2D to 3D line and point correspondences . 82-88.  0.6
1988 Mitiche A, Faugeras O, Aggarwal J. Counting the line Proceedings - International Conference On Pattern Recognition. 693-695.  0.6
1988 Le Bras-Mehlman E, Schmitt M, Faugeras OD, Boissonnat JD. How the Delaunay triangulation can be used for representing stereo data . 54-63.  0.6
1987 Faugeras OD, Toscani G. CAMERA CALIBRATION FOR 3D COMPUTER VISION . 240-247.  0.6
1987 Toscani G, Faugeras OD. STRUCTURE FROM MOTION USING THE RECONSTRUCTION AND REPROJECTION TECHNIQUE . 345-348.  0.6
1987 Toscani G, Faugeras OD. STRUCTURE AND MOTION FROM TWO NOISY PERSPECTIVE VIEWS . 221-227.  0.6
1986 Faugeras OD, Hebert M. REPRESENTATION, RECOGNITION, AND LOCATING OF 3-D OBJECTS International Journal of Robotics Research. 5: 27-52. DOI: 10.1177/027836498600500302  0.6
1986 Ayache N, Faugeras OD. HYPER: A New Approach for the Recognition and Positioning of Two—Dimensional Objects Ieee Transactions On Pattern Analysis and Machine Intelligence. 44-54. DOI: 10.1109/TPAMI.1986.4767751  0.6
1986 Faugeras OD, Lustman F. IDENTIFYING PLANES FOR THE CONSTRUCTION OF THE WORLD MODEL OF A MOBILE ROBOT Proceedings - International Conference On Pattern Recognition. 162-164.  0.6
1986 Faugeras OD, Lustman F. INFERRING PLANES BY HYPOTHESIS PREDICTION AND TESTING FOR A MOBILE ROBOT . 211-223.  0.6
1986 Faugeras OD, Hebert M. The representation, recognition, and positioning of 3-D shapes from range data Techniques For 3-D Machine Perception. 13-51.  0.6
1986 Faugeras OD, Lustman F. LET US SUPPOSE THAT THE WORLD IS PIECEWISE PLANAR . 33-39.  0.6
1986 Faugeras OD, Ayache N, Faverjon B. BUILDING VISUAL MAPS BY COMBINING NOISY STEREO MEASUREMENTS . 1433-1438.  0.6
1986 Faugeras OD, Toscani G. CALIBRATION PROBLEM FOR STEREO . 15-20.  0.6
1985 Ayache N, Faugeras O, Faverjon B. A Geometric Matcher for Recognizing and Positioning 3-D Rigid Objects Proceedings of Spie - the International Society For Optical Engineering. 521: 152-159. DOI: 10.1117/12.946175  0.6
1985 Faugeras OD. NEW STEPS TOWARD A FLEXIBLE 3-D VISION SYSTEM FOR ROBOTICS . 25-33.  0.6
1984 Bhanu B, Faugeras OD. Shape Matching of Two-Dimensional Objects Ieee Transactions On Pattern Analysis and Machine Intelligence. 137-156. DOI: 10.1109/TPAMI.1984.4767499  0.6
1984 Ayache N, Faugeras OD. NEW METHOD FOR THE RECOGNITION AND POSITIONING OF 2-D OBJECTS Proceedings - International Conference On Pattern Recognition. 2: 1274-1277.  0.6
1982 Bhanu B, Faugeras OD. Segmentation of Images Having Unimodal Distributions Ieee Transactions On Pattern Analysis and Machine Intelligence. 408-419. DOI: 10.1109/TPAMI.1982.4767273  0.6
1981 Faugeras OD, Price KE. Semantic description of aerial images using stochastic labeling Ieee Transactions On Pattern Analysis and Machine Intelligence. 6. DOI: 10.1109/TPAMI.1981.4767164  0.6
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