Themes of SCAI 2006
Computer Vision
Learning has been receiving increased attention in the computer vision community in the recent years. A major motive for this development is that the vision systems start to move into the real world, where learning and reasoning capabilities are essential in coping with the inherent uncertainty and complexity of the world.
This special session aims to bring people together from both computer vision and artificial intelligence communities to enable interdisciplinary interaction and networking of students and scientists.
Original submissions are sought on all aspects of computer vision, robot vision, and image analysis, including but not limited to:
- active vision
- augmented reality
- cognitive vision
- computer vision applications
- feature extraction
- modelling of visual data
- object recognition
- learning and reasoning in vision
- scene analysis
For more information, please contact the session chair
Dr. Ville Kyrki, lastname@lut.fi