Intent-aware Traffic Light
Fully automated, vision-based pedestrian traffic lights which reduce waiting times, increase safety and optimize traffic flow. More
Visual Computing
VR4CPPS
Visualizing Large Temporal Networks
CrossSave
In the project CrossSave, we research novel approaches for searching, comparing and analysing digital cultural heritage objects across different modalities. The project is a collaboration between TU Graz CGV, University of Graz Institute of Classics, and University of Chile PRISMA group, and is co-funded by the FWF and the State of Styria.
With a modern smartphone, everyone now has a high resolution digital camera attached to a high performance parallel computer in their pocket. On the one hand, the constantly increasing amount of visual information demands faster and better algorithms, while on the other hand it also opens the space for new exciting applications. At our department, we host several internationally renowned research groups working in visual computing. Our research areas include computer vision, visual analytics, computer graphics, augmented reality and human-computer interaction. Our scientific excellence is reflected in a growing number of international and national research projects (ERC grant, Christian Doppler laboratories), in top-tier publications and close cooperations with our industrial partners.
Areas of Research
Computer Vision, Virtual Reality and Computer Graphics, Mathematical Models in Computer Vision, Knowledge Management, 3D-Shape Analysis and Processing, Visual Computing, Computer Graphics and Parallel Processing, Geometry Processing
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