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Monique Thonnat
INRIA Sophia Antipolis
Membership Number: 3
Address: INRIA BP 93,06902 Sophia Antipolis Cedex, France.
Email: Monique.Thonnat@sophia.inria.fr
Phone: 33 4 92 38 78 67
Fax: 33 4 92 38 79 39
URL: http://www-sop.inria.fr/orion/orion-eng.html

Biographical Sketch
Monique Thonnat is a Monique Thonnat (1957) is Director of Research at INRIA in Sophia Antipolis. She received in 1980 a diploma of engineer ENSPM and a DEA (Master thesis) in Signal and Spatio Temporal Systems from University of Marseille. In 1982 she received her PhD degree in Optics and Signal Processing from University of Marseille III. Her PhD was prepared in the Spatial Astronomical Laboratory of CNRS. (Subject : interactive data reduction methods for astronomical plates: background restitution and radial velocity computing). In 1983 she joined INRIA (French National Institute for Research in Computer Science and Control) in Sophia Antipolis on French Rivierra as full time research scientist (Chargée de recherche 1ère classe ) in the PASTIS group headed by M. Berthod. She became Director of Research in 1991 then in 1992 she created the Orion action and in 1995 the Orion project, a multi-disciplinary research team at the frontier of computer vision, knowledge-based systems, and software engineering.

Monique Thonnat is author or co-author of more than 70 scientific papers published in international journals or conferences. During 3 years (from 1979 to 1982) she worked on image processing techniques for astronomy in the Spatial Astronomical Laboratory of CNRS. In Marseille. Then in 1983 she moved to INRIA where she worked on pattern recognition and artificial intelligence techniques for complex object recognition (as galaxies, zoopanktons or fishes) and on computer vision for the automatic interpretation of 3D stereo data of indoor scenes or of road scenes (Prometheus). She also developed computer vision and knowledge-based systems for automating the construction of image processing systems (OCAPI). Her more recent research activities involve the conception of new technics for the reuse of program (or program supervision) and on image understanding techniques for the interpretation of video sequences. Monique Thonnat has supervised 11 PhD theses . She teaches computer vision and artificial intelligence in universities and in several High Engineer Schools. She is directly involved in the application of her research in the industrial domain; in particular in the framework of european projects (Eureka Project PROMETHEUS, Esprit Project PASSWORDS, Esprit Project AVS-PV, Esprit Project AVS-RTPW, Climate and Environment Project ASTHMA, IST project ADVISOR).

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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