Computer Vision and Image Understanding
The Computer Vision and Image Understanding Group conducts research in object and action recognition and its application to human computer interaction and camera-equipped environments. The ultimate goal is to make computers aware of the everyday visual world.
Application domains that our group considers range from vision-based state estimation and object tracking in robot control and augmented reality applications, the interpretation of facial expressions, recognition of gestures and actions in sport and surveillance applications, and recognition of object categories in robot mapping.
Former achievements of this group include the development of Horus a comprehensive and high-performance computer vision library. After its completion as a research prototype Horus has been further developed and extended to Halcon one of worldwide leading commercial computer vision toolboxes.
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Prof. Dr. Bernd Radig

















