About CVMT
The Computer Vision & Media Technology Laboratory
(CVMT) was founded in 1984 as The Laboratory of Image Analysis (LIA). The laboratory
staff varies from 10-15 people including Ph.D. students and support
staff. The major research
areas of the laboratory are:
- Computer
Vision
- Multimedia
interfaces
- Virtual
Reality & Augmented Reality Systems
- Autonomous
systems and agents
The
research within Computer Vision is aimed
at selected methodological problems like exploitation of colour information, building object and
scene models, and at the development of complete real-time vision
systems for continuous
observation of dynamic scenes for e.g.
Multimedia Interfaces with human computer interaction
or surveillance tasks.
This includes control and concentration of the system resources towards
current “focus of attention”,
use of temporal context, and control of camera motion and camera
parameters. In the field of computer vision there are currently Ph.D.
projects on human motion capture, gesture recognition, colour vision
(skin colour in particular), and tracking of multiple objects (in
particular humans).
The Virtual
Reality activities explore inhabited virtual worlds with Autonomous Agents and with interaction with
users i n the real world.
Some of the effort has the theatre metaphor as starting point and
source of inspiration, and some projects experiment with virtual
theatre.
Other projects experiment
with the use of visual worlds for explorative data analysis and data
mining.
The VR activities are
greatly supported by the advanced facilities of VR Media Lab .
Mixing technologies is a
special CVMT feature as in projects on augmented reality.
Videnbase
Nordjylland (Northern Jutland Science and Research Database)
CVMT-flyer
CVMT Research Report 2003
CVMT
Research Report 2002
CVMT/AAU Research Report 2000 & 2001
(Department of Medical Informatics and Image Analysis pp 19-24)
CVMT/AAU Research Report 1999 & 2000
(afdeling for Medicinsk Informatik pp 22-26) (in Danish)
CVMT/AAU Research Report 1997 & 1998 (afdeling for
Medicinsk Informatik pp 17-23) (in Danish).