Invited Talk: Prof. Dr. James Crowley, INRIA Rhones Alpes, France
Title of the Talk
Autonomic Computer Vision SystemsAbstract
Most computer vision systems perform well under controlled laboratory conditions, but require lengthy set up and "tuning" by experts when installed in new operating conditions. Unfortunately, for most real applications of computer vision, the operating conditions frequently change. These changes degrade system performance and can even cause complete system failure, requiring intervention by a trained engineer. The requirement for installation and frequent maintenance by highly trained experts seriously inhibits the commercial application of computer vision systems. In this talk we discuss ways in which autonomic computing can reduce the cost of installation and configuration, as well as enhance reliability, for practical computer vision systems.
We begin by reviewing the origins of autonomic computing. We then describe the design of a computer vision system as a software component within a layered service architecture. We describe techniques for regulation of internal parameters, error detection and recovery, self description, and self configuration for vision systems. These methods will be illustrated with results from the IST projects FAME, CAVIAR and CHIL.
About the speaker
Prof. Dr. James L. Crowley is director of the GRAVIR laboratory at the INRIA Rhone-Alpes
research center in Montbonnot, France and of the INRIA project PRIMA. He holds the
post of Professor at the Institut National Polytechnique de Grenoble (INPG), where he
teaches courses in Computer Vision, Signal Processing, Pattern Recognition and Artificial
Intelligence at l'ENSIMAG (Ecole National Superieure d'Informatique et de Mathematiques
Appliquées).
Please have a look at 
his website
for further information.
