Computational Optical Sensing and Processing Laboratory
The main research challenge of our laboratory is to derive precise abstract information or decisions from large complex noisy topological data sets captured by one or multiple optical sensors. We apply special optical arrangements such as different holographic setups and fluorescent illuminations for microscopic imaging, or multi-spectral camera-based patient monitoring systems or wide-angle multi-camera systems in monitoring. The heavy computational load is handled by many-core processor arrays, such as GPUs in desktop applications or embedded low-power systems.
Publication date
1995
In: 1994 CERN school of computing. Proceedings. Sopron, 1994.
The CNN universal machine - a summary of an analogic supercomputer chip architecture for very high speed visual processing
In: Képfeldolgozók és alakfelismerok 2. konferenciája. (Second conference of the Hungarian Image Processing and Pattern Recognition Society.) Noszvaj, 2000..
Futási eredmények az analogikai CNN-UM vizuális mikroprocesszorokon
A CNN model of the time-coding pathway of sound localization - hyperacuity in time. (Research report of the Neuromorphic Information Technology, Graduate Center. NIT-4-1995.)