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
MTA SZTAKI, Budapest, pp. 13.
A CNN platform to a discrete-time cellular neural network universal machine chip. (Research report of the Analogical and Neural Computing Laboratory DNS-12-1995.)
In: 13th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Turin, Italy Aug. 29-31, 2012, 2012-08-29 - 2012-08-31, Torino, Olaszország.
Investigation of area and speed trade-offs in FPGA implementation of an image correlation algorithm
On a framework of complexity of computations on flows - implemented on the CNN universal machine. (Research report of the Analogical and Neural Computing Laboratory DNS-15-1995.)
Spatial logic algorithms using analogic CNN instructions and its use in bank-note recognition. (Research report of the Analogical and Neural Computing Laboratory DNS-5-1995.)