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
2000
thesis.
A CNN Univerzális Gép (CNNUM) mint bonyolult mérnöki számítások eszköze : téranalízis a mechanikában, minőségellenőrzés az elektronikában
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: Dennis Gabor. On centenary of his birth. Dennis Gabor memorial conference and symposium on holography and high resolution measurement techniques including information processing and precision measurement techniques. Budapest, 2000..
Dennis Gabor as the initiator of optical computing: Importance and prospects of optical computing and an optical implementation of the CNN-UM computer
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.)