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Olivier Faugeras
INRIA Sophia Antipolis
Membership Number: 3
Address: INRIA BP 93,06902 Sophia Antipolis Cedex, France.
Email: Olivier.Faugeras@sophia.inria.fr
Phone: 334 92 38 78 31
Fax: 334 92 38 78 45
URL: http://www.inria.fr/robotvis/personnel/faugeras/faugeras-eng.html

Biographical Sketch
Olivier D. Faugeras is a Research Director at INRIA in the Sophia Antipolis Research Unit, and the leader of the ROBOTVIS Group. He is a member of the French Academy of Sciences.

Current work and related interests include 3D reconstruction of human brain activity from Magnetic (MEG) and Electrical (EEG) data, processing of Brain MR images, application of Differential Invariants and Partial Differential Equations to Computer Vision and Shape Analysis, motion and stereo analysis .

He is involved in the Mapawamo (using advanced techniques of fMRI processing, compare the visual systems in men and monkeys), Insight2+ (understanding of monocular 3D perception) and CogViSys (understanding of the interplay between low level visual perception and high level knowledge; Application to sign language understanding) projects.

INRIA Sophia Antipolis
INRIA – l’Institut National de Recherche en Informatique et Automatique – is a French research institute studying information and computer science and technology. This research allows scientific development to be used for technological progress, for creating employment and wealth and for new uses in response to socio-economic needs. INRIA has a decentralized organization (5 Research Units), its small autonomous teams, and regular evaluation enable INRIA to develop its partnerships, with 47 research projects out of 87 shared with universities, grandes Ecoles and research organizations. It is also strengthening its involvement in the development of research results and technology transfer: 600 R & D contracts with industry and 40 technology companies have been born of the Institute.

Within INRIA, the RobotVis research project aims to develop the theory and practice of machine visual perception. To this end, the team is building mathematical and computational tools and testing results against real applications and performance in biological systems.

In order to solve a given visual perception task, we must first answer the following questions:

- What information is to be extracted from images and what sort of mathematics allows this ?

- What are the uses of these methods and what experiments can adequately validate them?

- And what computing architectures will execute these algorithms in real-time in a given application?

Within this general framework we mainly focus on brain mapping, geometric vision modelisation and spatio-temporal visual events analysis.


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