Computer Vision is about teaching computers to see: How to transform an image consisting of nothing more than pixels into a semantic representation that allows, for example, to detect and analyze objects? Image processing and machine learning are closely related to Computer Vision. It is typically used in production halls, where assembly line products have to be measured or checked for manufacturing defects within fractions of a second. Using cameras and Computer Vision algorithms, this task can be fully automated.
With camera systems integrated in modern automobiles it is possible to track the traffic lane, detect obstacles and other vehicles, and warn the driver or even perform emergency braking or evasive maneuvers in hazardous situations. Autonomous air, space and ground vehicles (such as the Mars rovers or unmanned aerial vehicles, UAVs) also rely on Computer Vision in order to perceive their environment, detect objects and plan their next actions.
Even in the home entertainment industry, Computer Vision nowadays plays a major role: State-of-the-art gaming consoles are capable of detecting the player’s motion via (3D) cameras and thus allow for entirely new gaming concepts.
In our Computer Vision laboratory, students can work on their projects, carry out experiments and conduct evaluations.
The Computer Vision laboratory offers a large amount of different cameras, among them: Industrial color/near infrared cameras, a SwissRanger depth camera, a thermographic camera, a pan-tilt-zoom camera as well as several Microsoft Kinects and webcams.