| Background and position
| CV |
Amaury Dame is now "Research Assistant" in the Active Vision Group,
Department of Engineering Science, University of Oxford
Email : email@example.com
Background and Position
In 2007, I received a master degree in industrial computer science and electrical engineering from INSA Rennes (INSA) and Research Master degree in signal and image processing (STI) from the University of Rennes 1.
In December 2010, I received the Ph.D degree in computer science from the University of Rennes after having work
three years in the Lagadic research team in IRISA/INRIA Rennes Bretagne Atlantique under the supervision of Eric Marchand. The subject of my researches was to develop robust tracking and visual servoing algorithms.
I am currently searching for a postdoctoral position. My research interests include computer vision, active vision and visual servoing.
In this thesis, we focused on both the use of optimization methods and robust alignement function to
propose new algorithms for the tracking and the visual servoing problems.
A metric derived from information theory, mutual information (MI), is principaly
considered. Mutual information is widely used in multi-modal image
registration (medical applications) since it is robust to
changes in the lighting conditions and to a wide class of non-linear
Mutual information based tracking
Mutual information based visual servoing
Optimal detection and tracking of feature points using Mutual Information
We propose a new way to achieve feature points detection and tracking.
An approach based on Mutual Information is propose to track each point
with a strong robustness to illumination variations.
Considering this tracking approach, an optimal detection of the points
is proposed to choose the points that will be the more efficiently tracked.
The proposed approach has been tested on various image sequences and compared
to the classical KLT approach. As the images opposite shows the proposed algorithm
is far more robust to illumination variations.
Complete list (with postscript or pdf files if available)
Computer vision courses at INSA (National Institute of Applied Sciences) Rennes.
Click here to get a pdf version
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