Computer graphics and machine vision
Computer Vision • Deep learning • Games • GPU • Inverse methods • Medical imaging • Monte Carlo methods • Positron Emission Tomography • Rendering • Sampling and reconstruction • Virtual reality • Visualization
Szirmay-Kalos László
full professor
IB321
(+36) 1 463-2353
A kutatócsoport tagjai:
Szirmay-Kalos László
full professor
Szécsi László
associate professor
Magdics Milán
associate professor
Csébfalvi Balázs
associate professor
Tóth Balázs György
associate professor
Kacsó Ágota Enikő
assistant lecturer
Tóth Márton József
assistant lecturer
Szemenyei Márton
assistant professor
Kertész Zsolt László
research fellow
Kovács Kálmán
associate professor
Activity of the research group:
The Computer Graphics group focuses on real-time GPU-based photorealistic image synthesis, off-line CPU-based global illumination, non-photorealistic/artistic imaging simulation, medical/physical/engineering systems simulation and visualization, image processing, machine vision, and tomographic reconstruction.
Recent results:
- Dynamic PET reconstruction system algorithms and GPU implementation
- GPU-based sampling and reconstruction
- Non-Euclidean geometries in games and virtual reality systems
- Real-time algorithmic photography: fog, rain, etc. Elimination
- Deep learning applications in image processing and graphics
- Retinal transfer function determination (collaboration with Botond Roska's group in Basel)
Former students have gone on to professional management positions at Intel, Google, Amazon, Weta Digital, Industrial Light&Magic, Disney, DreamWorks, etc.Attila Áfra, a former PhD student and current Intel researcher, won this year's Technical Oscar, the highest award for practical application of computer graphics.
Special infrastructure:
GPU server • Reconstruction server • GPU workstation
Recent projects:
VKSZ • VEKOP • VKE • OTKA
International relations:
Universidad de Girona • Cseh Műszaki Egyetem • Auckland University of Tech. • Pompeu Fabra University • NMI Reutlingen • Griffith University • Universitat Wien
Industrial partners:
Mediso