Learning, Recognition, and Surveillance (LRS) is a work-group focusing on research in machine learning and object recognition, detection & tracking with a major application domain of visual surveillance.
Medical Imaging & Biometrics is a work-group doing research in computer vision, image analysis and machine learning algorithms with the focus on two distinct application areas. First, clinical and forensic medical applications using localization, registration and segmentation methods, and second biometrics related applications like facial image processing and fingerprint analysis.
The Robot Vision Group performs topic-specific research inside the Institute for Computer Graphics and Vision. Headed by Matthias Rüther, the group consists of several Ph.D. and diploma students. Within the fruitful research environment of ICG, we conduct application-driven projects in Optical Metrology, Photogrammetry, Mobile Robotics and Industrial Robotics. Fruitful cooperation with more than 50 company partners allow us to deliver cutting-edge research results, always with a mindset on practical applicability.
We got one paper accepted at ACCV in Taipei! Congratulations to Opitz et al. (Efficient Model Averaging for Deep Neural Networks).
We got one paper accepted at ECCV in Amsterdam! Congratulations to Opitz et al. (Grid Loss: Detecting Occluded Faces).
Congratulations to Poier, et al. for winning the Best Paper Award at Digital Heritage (DH'15)!
We got one paper accepted at ICCV in Santiago de Chile! Congratulations to Riegler et al.