P. Belhumeur, N. , K. Ikeuchi, E. Prados, S. Soatto et al., Editorial for the Special Issue on Photometric Analysis for??Computer Vision, International Journal of Computer Vision, vol.86, issue.2-3, pp.125-126, 2010.
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URL : https://hal.archives-ouvertes.fr/inria-00511432

F. Camilli and E. Prados, Shape-from-Shading with discontinuous image brightness, Applied Numerical Mathematics, vol.56, issue.9, pp.1225-1237, 2006.
DOI : 10.1016/j.apnum.2006.03.007

URL : https://hal.archives-ouvertes.fr/inria-00377425

F. Camilli and E. Prados, Viscosity Solution, the Encyclopedia of Computer Vision, 2011.
DOI : 10.1007/978-0-387-31439-6_686

URL : https://hal.archives-ouvertes.fr/inria-00546110

A. Delaunoy, K. Fundana, E. Prados, and A. Heyden, Convex multi-region segmentation on manifolds, 2009 IEEE 12th International Conference on Computer Vision, pp.662-669, 2009.
DOI : 10.1109/ICCV.2009.5459174

URL : https://hal.archives-ouvertes.fr/inria-00435133

A. Delaunoy and E. Prados, Gradient Flows for Optimizing Triangular Meshbased Surfaces : Applications to 3D Reconstruction Problems dealing with Visibility, International Journal of Computer Vision, 2011.
DOI : 10.1007/s11263-010-0408-9

URL : https://hal.archives-ouvertes.fr/inria-00546105

A. Delaunoy, E. Prados, P. Belhumeur, and N. , Towards Full 3D Helmholtz Stereovision Algorithms, Asian Conference on Computer Vision, 2010.
DOI : 10.1109/CVPR.2006.19

URL : https://hal.archives-ouvertes.fr/inria-00525867

A. Delaunoy, E. Prados, K. Fundana, and A. Heyden, Segmentation convexe multi-région de données sur les surfaces, 17ème Congrès de Reconnaissance des Formes et Intelligence Artificielle, 2010.

A. Delaunoy, E. Prados, P. Gargallo, J. Pons, and P. Sturm, Stéréo multi-vues : erreur de reprojection et maillages triangulaires, ORASIS'09 -Congrès des jeunes chercheurs en vision par ordinateur, 2009.

A. Delaunoy, E. Prados, P. Gargallo, I. Piracés, J. Pons et al., Minimizing the Multi-view Stereo Reprojection Error for Triangular Surface Meshes, Procedings of the British Machine Vision Conference 2008, 2008.
DOI : 10.5244/C.22.58

URL : https://hal.archives-ouvertes.fr/inria-00308944

P. Gargallo, E. Prados, and P. Sturm, Minimizing the Reprojection Error in Surface Reconstruction from Images, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007.
DOI : 10.1109/ICCV.2007.4409003

URL : https://hal.archives-ouvertes.fr/inria-00266287

P. Gargallo, E. Prados, and P. Sturm, Minimiser l'erreur de reprojection en reconstruction de surfaces basée images, RFIA'08, 2008.

-. Byung, E. Hong, S. Prados, L. Soatto, and A. Vese, Shape Representation based on Integral Kernels : Application to Image Matching and Segmentation, IEEE Conference on Computer Vision and Pattern Recognition, pp.833-840, 2006.

-. Byung, E. Hong, L. Prados, S. Vese, and . Soatto, Shape Representation based on Integral Kernels : Application to Image Matching and Segmentation, 2005.

Z. Janko, A. Delaunoy, and E. Prados, Colour Dynamic Photometric Stereo for Textured Surfaces, Asian Conference on Computer Vision, 2010.
DOI : 10.1109/ICCV.2005.224

URL : https://hal.archives-ouvertes.fr/inria-00525869

H. Jin, D. Cremers, D. Wang, E. Prados, A. Yezzi et al., 3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination, International Journal of Computer Vision, vol.13, issue.7, p.76, 2008.
DOI : 10.1080/713820338

URL : https://hal.archives-ouvertes.fr/inria-00260433

E. Prados and . Une-approche-du, Shape From Shading" par solutions de viscosité, 2001.
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URL : ftp://ftp.inria.fr/INRIA/publication/publi-ps-gz/RR/RR-4638.ps.gz

E. Prados, Application of the theory of the viscosity solutions to the Shape From Shading problem. These Luis Alvarez University of Las Palmas (Spain)Pierre Bernhard University of Nice-Sophia Antipolis (France), Luc robert Realviz S.A.Olivier Faugeras (invited) INRIA Sophia, 2004.
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E. Prados and E. Arnaud, Modélisation numérique : Quel développement durable ? La Recherche. Les Cahiers de l'Inria, 2010.

E. Prados, E. Arnaud, P. Longaretti, and F. Mancebo, Mathematical and numerical analyses of local integrated models, Workshop on Decision Analysis and Sustainable Development, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00526289

E. Prados, E. Arnaud, P. Longaretti, and F. Mancebo, Presentation of the SOCLE3 project and the STEEP lab, 72nd meeting of the European Working Group "Multiple Criteria Decision Aiding, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00526292

E. Prados, E. Arnaud, F. Mancebo, and P. Longaretti, Des outils informatiques d'aide à la décision en faveur du Développement Durable, Actu- Environnement.com, 2010.

E. Prados, F. Camilli, and O. Faugeras, A viscosity method for Shape-from- Shading without boundary data, 2004.
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URL : https://hal.archives-ouvertes.fr/inria-00070704

E. Prados, F. Camilli, and O. Faugeras, A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications, CANUM 2004 -36th French Congress of Numerical Analysis, pp.307-328, 2004.
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URL : https://hal.archives-ouvertes.fr/inria-00377391

E. Prados, F. Camilli, and O. Faugeras, A viscosity solution method for Shape-From-Shading without image boundary data, ESAIM: Mathematical Modelling and Numerical Analysis, vol.21, issue.2, pp.393-412, 2006.
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URL : https://hal.archives-ouvertes.fr/inria-00377394

E. Prados and O. Faugeras, A mathematical and algorithmic study of the Lambertian SFS problem for orthographic and pinhole cameras, 2003.
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E. Prados and O. Faugeras, Approximations numériques des solutions de viscosité de divers EDPs provenant du Shape from Shading, CANUM?2003CANUM? CANUM?2003 -35th French Congress of Numerical Analysis, 2003.

E. Prados and O. Faugeras, "Perspective shape from shading" and viscosity solutions, Proceedings Ninth IEEE International Conference on Computer Vision, pp.826-831, 2003.
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URL : https://hal.archives-ouvertes.fr/inria-00394240

E. Prados and O. Faugeras, A rigorous and realistic Shape From Shading method and some of its applications, 2004.
URL : https://hal.archives-ouvertes.fr/inria-00071450

E. Prados and O. Faugeras, Reconstruction photogramétrique des formes 3D ; nouveaux résultats théoriques et nouveaux algorithmes pour des projections orthographique et en perspective, Actes du 14ème Congrès de Reconnaissance des Formes et Intelligence Artificielle, 2004.

E. Prados and O. Faugeras, Unifying Approaches and Removing Unrealistic Assumptions in Shape from Shading: Mathematics Can Help, Proceedings of the 8th European Conference on Computer Vision, pp.141-154, 2004.
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URL : https://hal.archives-ouvertes.fr/inria-00394234

E. Prados and O. Faugeras, Viscosity solutions for realistic Shape-From- Shading, 2004.
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E. Prados and O. Faugeras, A Generic and Provably Convergent Shape-from-Shading Method for Orthographic and Pinhole Cameras, International Journal of Computer Vision, vol.65, issue.1-2, pp.97-125, 2005.
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URL : https://hal.archives-ouvertes.fr/inria-00378704

E. Prados and O. Faugeras, Shape from Shading: A Well-Posed Problem?, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.870-877, 2005.
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URL : https://hal.archives-ouvertes.fr/inria-00070703

E. Prados and O. Faugeras, Rôle clé de la Modélisation en Shape From Shading, 15ème Congrès de Reconnaissance des Formes et Intelligence Artificielle, 2006.

E. Prados and O. Faugeras, Shape From Shading, Handbook of Mathematical Models in Computer Vision, pp.375-388, 2006.
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URL : https://hal.archives-ouvertes.fr/inria-00377417

E. Prados, O. Faugeras, and F. Camilli, A mathematical framework unifying various Shape from Shading approaches, Mathematics and Image Analysis (MIA '04), 2004.
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E. Prados, O. Faugeras, and F. Camilli, Shape from Shading: A Well-Posed Problem?, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2004.
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URL : https://hal.archives-ouvertes.fr/inria-00070703

E. Prados, O. Faugeras, and E. Rouy, Shape from Shading and Viscosity Solutions, European Conference on Computer Vision, pp.790-804, 2002.
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URL : https://hal.archives-ouvertes.fr/inria-00071947

E. Prados, O. Faugeras, and E. Rouy, Shape from Shading and Viscosity Solutions, 2002.
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URL : https://hal.archives-ouvertes.fr/inria-00071947

E. Prados, N. Jindal, and S. Soatto, A Non-local Approach to Shape from Ambient Shading, 2nd International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'09), Lecture Notes in Computer Science series, pp.696-708, 2009.
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URL : https://hal.archives-ouvertes.fr/inria-00357071

E. Prados, C. Lenglet, J. Pons, N. Wotawa, R. Deriche et al., Control Theory and Fast Marching Methods for Brain Connectivity Mapping, 2006.
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URL : https://hal.archives-ouvertes.fr/inria-00070181

E. Prados, C. Lenglet, J. Pons, N. Wotawa, R. Deriche et al., Control Theory and Fast Marching Techniques for Brain Connectivity Mapping, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.1076-1083, 2006.
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URL : https://hal.archives-ouvertes.fr/inria-00377403

E. Prados and S. Soatto, Fast Marching Method for Generic Shape from Shading, 3rd International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM'05, pp.320-331, 2005.
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URL : https://hal.archives-ouvertes.fr/inria-00394229

E. Prados and S. Soatto, Méthode de " Fast Marching " générique pour le " Shape From Shading, 15ème Congrès de Reconnaissance des Formes et Intelligence Artificielle, 2006.
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URL : http://www.vision.cs.ucla.edu/papers/pradosS05.pdf

P. Sturm, A. Delaunoy, P. Gargallo, E. Prados, and K. Yoon, 3D and Appearance Modeling from Images, Proceedings of the 14th Iberoamerican Congress on Pattern Recognition -CIARP 2009, pp.695-704, 2009.
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D. Wang, E. Prados, and S. Soatto, Toward robust and physically plausible shaded stereoscopic segmentation, 2005.
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D. Wang, E. Prados, and S. Soatto, Towards Robust and Physically Plausible Shaded Stereoscopic Segmentation, Computer Vision and Pattern Recognition Workshop (CVPRW), 2006.
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N. Wotawa, C. Lenglet, E. Prados, R. Deriche, and O. Faugeras, Anatomical connections in the human visual cortex : validation and new insights using a DTI Geodesic Connectivity Mapping method, 2007.
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A. Hertzmann and S. M. Seitz, Example-based photometric stereo: shape reconstruction with general, varying BRDFs, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.8, pp.1254-1264, 2005.
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H. Jin, D. Wang, D. Cremers, E. Prados, A. Yezzi et al., 3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination, International Journal of Computer Vision, vol.13, issue.7, 2007.
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H. Jin, A. J. Yezzi, and S. Soatto, Mumford-Shah on the Move: Region-Based Segmentation on??Deforming Manifolds with Application to 3-D Reconstruction of??Shape and Appearance from Multi-View Images, Journal of Mathematical Imaging and Vision, vol.18, issue.9, pp.219-234, 2007.
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