This 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.
Research themes
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?
Theoretical problems: early vision, perception of distances and movements, the
representation of object shapes, the recognition of objets or places, co-operation between
visual and inertial modalities, relations between learning and visual perception, active
visual perception.
International and industrial relations
Collaboration with Cnes, Elsag, Esa, Gec, Plessay, Itmi, Matra, MS2I, Noesis, Sagem, Sfim,
and Thomson.
Participation in several Esprit BRA projects including Insight and Viva.
