Vision research is a truly interdisciplinary field; it employs models and methods from very different areas
- Applied mathematics: statistics and estimation theory
- Physics: optics and dynamics, as well as statistical physics
- Computer science: software design, software systems engineering, information theory and pattern recognition
- Photogrammetry: when it comes to measuring, and dealing with errors
“Seeing is a process that produces a description from the pictures which we obtain from the outside. This description is useful to the person who sees and is not loaded with irrelevant information…” (David Marr, MIT)
Current work deals with the statistical modelling of object views and the appropriate motion trajectories, the robust estimation of 2D and 3D motion parameters. This all contributes to continuous incremental learning of an unknown environment from long image sequences: visual exploration.
Imagine your car is equipped with eyes in order to assist you in driving, or navigates autonomously in heavy traffic — even at the Arc de Triomphe during rush hour!