PERCEPTION

PERCEPTIONMembersEmmanuel PRADOS

Emmanuel PRADOS

I am a scientist researcher at INRIA.

I lead the STEEP research group at the INRIA Grenoble - Rhone-Alpes Research Center. This new research group tries to model regional transition to sustainability. Between 2006 and 2010, I worked in the Perception group (INRIA Rhone-Alpes). I was a postdoctoral researcher with Stefano Soatto at UCLA (2005). I graduated as a Ph.D. (2004) working with Professor Olivier Faugeras in the Odyssee Lab. (laboratory of Computer and Biological Vision of the INRIA/ENS/ENPC) at the INRIA of Sophia Antipolis
My competences involve various topics of applied mathematics and computer science:
-  theoretical analysis of Partial Differential Equations (PDEs),
-  numerical resolution and analysis of Partial Differential Equations,
-  control theory, differential games, dynamic programming,
-  variational methods and optimization,...
My research activities now focus on the application of mathematics and the computer science to the modelling of the transition to sustainability at local scale.
I am member of the group SOCLE3 [http: // socle3.inrialpes.fr/].

Previously, I was applying my skills to computer vision, in particular to the questions of:
-  3D scene reconstruction from monocular or multiview images / video sequences,
-  illumination, reflectance modeling and image formation,
-  image invariants, characterization of ambiguities,
-  segmentation, image matching, scene flow...

Award: Accessit of the SPECIF Prize in 2005 (Prize of the Best French PhD Thesis in Computer Science).

Contact

  • INRIA Rhône-Alpes
    655, avenue de l'Europe
    38330 Montbonnot, France
  • Tel: +33 4 7661 52 27
  • Fax: +33 4 7661 54 54

Links

Students

Projects

Research Topics

Recent publications[All publications]

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Minimizing the Reprojection Error in Surface Reconstruction from Images

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Pau Gargallo, Emmanuel Prados, Peter Sturm
Proceedings of the International Conference on Computer Vision, Rio de Janeiro, Brazil - 2007

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3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination

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Hailin Jin, Daniel Cremers, Dejun Wang, Emmanuel Prados, Anthony Yezzi, Stefano Soatto
International Journal of Computer Vision, Volume 76, Number 3 - March 2008

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Shape from Shading: a well-posed problem ?

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Emmanuel Prados, Olivier Faugeras
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'05), San Diego, California, Volume II, Pages 870--877 - jun 2005

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Control Theory and Fast Marching Techniques for Brain Connectivity Mapping

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Emmanuel Prados, Christophe Lenglet, Jean-Philippe Pons, Nicolas Wotawa, Rachid Deriche, Olivier Faugeras, Stefano Soatto
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, New York, NY, June, 2006, Volume 1, Pages 1076--1083 - June 2006

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Fast Marching Method for Generic Shape From Shading

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Emmanuel Prados, Stefano Soatto
Proceedings of VLSM'05 (third International Workshop on Variational, Geometric and Level Set Methods in Computer Vision), Volume 3752, Pages 320–-331 - oct 2005

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A unifying and rigorous Shape From Shading method adapted to realistic data and applications

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Emmanuel Prados, Fabio Camilli, Olivier Faugeras
Journal of Mathematical Imaging and Vision, Volume 25, Number 3, Pages 307--328 - 2006

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A viscosity solution method for Shape-From-Shading without image boundary data

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Emmanuel Prados, Fabio Camilli, Olivier Faugeras
Mathematical Modelling and Numerical Analysis (M2AN), Volume 40, Number 2, Pages 393--412 - 2006

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A generic and provably convergent Shape-From-Shading Method for Orthographic and Pinhole Cameras

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Emmanuel Prados, Olivier Faugeras
International Journal of Computer Vision, Volume 65, Number 1/2, Pages 97--125 - nov 2005

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Shape From Shading

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Emmanuel Prados, Olivier Faugeras
Handbook of Mathematical Models in Computer Vision, Springer, Pages 375--388 - 2006

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Perspective shape from shading and viscosity solutions

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Emmanuel Prados, Olivier Faugeras
Proceedings of the 9th International Conference on Computer Vision, Volume 2, Pages 826--831 - oct 2003

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Shape-from-Shading with discontinuous image brightness

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Fabio Camilli, Emmanuel Prados
Applied Numerical Mathematics, Volume 56, Number 9, Pages 1225--1237 - sept 2006

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Unifying Approaches and Removing Unrealistic Assumptions in Shape from Shading: Mathematics Can Help

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Emmanuel Prados, Olivier Faugeras
Proceedings of the 8th European Conference on Computer Vision, Prague, Czech Republic, Volume 3024, Pages 141--154 - 2004

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Application of the theory of the viscosity solutions to the Shape From Shading problem

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Emmanuel Prados
PhD Thesis from University of Nice-Sophia Antipolis, France - oct 2004