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
1998
MTA SZTAKI, Budapest, pp. 40.
CNN algorithms in face detection systems. A review. (Research report of the Analogical and Neural Computing Laboratory, DNS-6-1998.)
In: 1998 international symposium on nonlinear theory and its applications. NOLTA'98. Proceedings. Crans-Montana, 1998. Vol. 2. 1998. (Presses Polytechniques et Universitaires Romandes.).
CNN computing infrastructure hosting nonlinear spatiotemporal algorithms - a review
Hyperacuity in time: a CNN model of a time-coding pathway of sound localization. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1998.)
In: 5th IEEE international conference on electronics, circuits and systems. ICECS '98. Surfing the waves of science and technology. Proceedings. Lisboa, 1998. Vol. 1..
CASTLE: an emulated digital architecture; design issues, new results