Welcome to the homepage of the Computer Vision Laboratory of the  Bonn-Rhine-Sieg University of Applied Sciences. Our lab is part of the  Institut of Visual Computing.

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.
Computer Vision is typically used in production halls, where products have to be measured or checked for defects within a fraction of a second. Using cameras and Computer Vision algorithms, this task can be fully automated. Camera systems integrated in modern automobiles can track the lane, detect obstacles and other vehicles and can warn the driver or even perform an emergency braking or evasive maneuvers in hazardous situations. Autonomous air, space and ground vehicles (such as the Mars Rover or unmanned aerial vehicles, UAVs) rely on Computer Vision as well in order to perceive their environment, detect objects and plan their next actions. Computer Vision is now even present in home entertainment: State-of-the-art gaming consoles can track the player’s motion using (3D) cameras, which allows for entirely new gaming concepts.

In our lab we develop and investigate issues related to computer vision and virtual reality. To find out what exactly we are doing, please take a closer look at our projects.

The CV lab 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.

On top of that we use the following visualization environments:
•    Immersion Square: an immersive cave with three-walls
•    FIVISquare I: a smaller version of the Immersion Square
•    FIVISquare II: an immersive virtual environment with three TFT-screens

Students who are interested to become part of our lab should check our project proposals and employment status.