Short bio
Pierre
Kornprobst obtained
his Ph.D in
Mathematics from
Nice-Sophia Antipolis University in November 1998. Then joined the computer science
department from University of
Southern California (Los Angeles), working with Gérard Medioni
as a CSNE (Coopérant au Service National en Entreprise) sponsored by
the company MATRA
Système et Information. Since 2000, he has been a Researcher at
INRIA Sophia Antipolis
Méditerranée, participating to several project teams: Robotvis
(2000-2002), Odyssée
(2002-2008) and now NeuroMathComp.
He defended his HDR in 2007.
His research interests
are computational and biological vision, computational neuroscience,
psychophysics, calculus of
variations, nonlinear partial
differential equations and numerical analysis as applied to image
processing.
He is the co-author of a book published by
Springer in 2002 (second edition in 2006) which present the
variety of image analysis
applications and the precise mathematics involved.
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Publications
Highlight
on some recent publications
Action Recognition
Using a Bio-Inspired Feedforward Spiking Network, Maria-Jose Escobar, Guillaume S.
Masson, Thierry Vieville and Pierre Kornprobst, accepted for
publication in International Journal of Computer Vision, 2009 [link]
Can the Nonlocal Characterization of
Sobolev Spaces by Bourgain et al. Be Useful for Solving Variational
Problems? Gilles Aubert and Pierre Kornprobst, SIAM J. Numer.
Anal. Volume 47, Issue 2, pp. 844-860,
2009 [link]
A
neural model of luminance-gated recurrent motion diffusion for 2D
motion integration and segmentation,
Émilien
Tlapale, Guillaume S.
Masson and Pierre Kornprobst, INRIA Research report,
submitted, 2009 [link]
Virtual
Retina : A biological retina
model and simulator, with contrast gain control,
Adrien Wohrer and Pierre Kornprobst, Journal of Computational
Neuroscience, 2008 [link]
Mathematical
problems in image processing: Partial Differential Equations and the
Calculus of Variations, Springer, Applied Mathematical Sciences,
Vol 147, 2006 (second
edition). [link]
Complete list (soon available, uncomplete list) |
Book
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PDE-based methods in image processing
have been
intensively developed
in image analysis since the 1990s. One of the main interests in using
PDEs is that the theory behind the concept is well-established.
Together with Gilles
Aubert (UNS-LJAD), we wrote a book on the precise mathematical
study of
certain image processing problems. This book is concerned with the
mathematical study of certain image
processing problems.
We target two audiences.
The first is the mathematical community and is achieved by
showing the contribution of mathematics to this domain by studying
classical and challenging problems which come from Computer Vision. It
is also the occasion to highlight some difficult and unsolved
theoretical questions.
The second is the Computer Vision community: this is done
by presenting a clear, self-contained and global overview of the
mathematics involved for the problems of image restoration, image
segmentation, sequence analysis and image classification.
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| We hope that this
work will serve as a useful source of
reference and inspiration for fellow researchers in Applied Mathematics
and Computer Vision, as well as being a basis for advanced courses
within these fields. |
Teaching
Softwares
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Virtual
Retina
A bio-inspired retina simulator for large-scale spiking simulations |
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SOLAIRE
A gaze contingent
system to facilitate reading for patients with scotomas |
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NAVISIO
(Published in CVAVI08)
An integrated reading aid system for low vision patients |
PhD students
Current PhD students
- Maria-Jose
Escobar (Bio-inspired models of
motion estimation: analysis and
applications to action recognition).
- Emilien
Tlapale
(Reproducing psychophysical results
with bio-inspired models of motion
estimation)
- Khaled
Masmoudi (Conception de schemas
bio-inspires pour la compression video)
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Former PhD students
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Collaborators
Contact me
Pierre Kornprobst
INRIA, NeuroMathComp project team
2004 Route des Lucioles
06902 Sophia Antipolis Cedex 2
Email: Pierre.Kornprobst@inria.fr
Phone: +33-4-9238-7979
Fax: +33-4-9238-7845
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Team assistant: Marie-Cecile Lafont
Email: Marie-Cecile.Lafont@inria.fr
Phone: +33-4-9238-7979
Fax: +33-4-9238-7845 |
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