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We research the capture, processing and interpretation of 2D and 3D visual data, machine learning in computer vision, and the use of images in computer-human interactions. We work in the following specific areas: interactive visual signage systems, 3D documentation in archaeology and cultural heritage, interpretation of images in biometry, medicine, geology and meteorology, the forensic analysis of images and video, virtual and augmented reality, as well as in the production of computer games and in new media art installations (in cooperation with the Academy of Fine Arts).
Research areas:
Machine perception and multimedia
The laboratory conducts research in the field of biomedical signal and imaging data. Our research includes describing physiological phenomena, modelling physiologic relationships, graphically displaying anatomic details and physiologic functions, visualising biomedical signals, developing standardised databases, developing detection and recognition techniques, evaluating the performance of recognition techniques, analysing bioelectric patterns, and developing performance measures and protocols, biomedical information technologies and software.
Research areas:
Computational Biology
Machine perception and multimedia
The laboratory performs R&D in the fields of multimedia technologies, human-computer interaction and computer graphics. Our main focus is on audio processing and music information retrieval (audio understanding, organization of music archives), interactive 3D visualization (medical imaging, games, VR/AR), and e-Learning (learning for people with disabilities, gamification). We have extensive experience in developing software solutions for desktop, mobile and cloud platforms and are active in the development of visualizations, interactive learning systems, and didactic games.
Research areas:
Machine perception and multimedia
Software engineering and informatics
The laboratory is involved in basic and applied research of visually enabled intelligent systems. We have extensive experience with visual object tracking, object detection and categorization, incremental visual learning, as well as with systems for human-robot interactive learning and the development of computer vision solutions for smart mobile devices. Our experience has been accumulated in collaboration with a variety of research partners in a number of the EU, national and industry funded projects which address these research issues.
Research areas:
Machine perception and multimedia
Machine learning and artificial intelligence
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