Alain Faure
Papers
2
Total Citations
10
H-Index
2
About
Alain Faure's research lies at the intersection of biologically inspired computer vision and autonomous robotics, with a particular focus on active perception and spatial reasoning. His most notable contribution is the development of the MARR model (Multiresolutional Attentional Representation and Recognition), a biologically plausible active vision system grounded in Noton and Stark's scanpath theory. This model enables invariant recognition of gray-level images by mimicking human visual attention and saccadic exploration, offering a computational framework for how biological systems achieve robust object recognition. Although published in 1997, the MARR model continues to inform research in active vision and attention-based recognition, accumulating 8 citations. Faure also contributed to the practical application of stereoscopic vision in robotics, as demonstrated in his 2005 work on closed-loop visual servoing for mobile robots. This research designed control laws that allow a robot equipped with a stereoscopic vision system to autonomously maintain a fixed distance and orientation relative to an observed object. While his citation counts are modest, Faure's work represents an early and principled attempt to bridge neurophysiological models of vision with real-world robotic control, offering foundational insights for students interested in biologically inspired robotics and active perception systems.
Research Focus
Key Achievements
Top Papers
- 1<title>MARR: active vision model</title>8 citations · 1997
- 2Commande d'un robot mobile par vision artificielle stéréoscopique2 citations · 2005