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
1992
In: Cellular neural networks and their applications (CNNA '92) Proceedings of IEEE 2nd international workshop, Munich, 1992.
Template synthesis of cellular neural networks for information coding and decoding
Some novel capabilities of CNN. Game of life and examples of multipath algorithms. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-3-1992.)
CNNHAC cellular neural network simulator using hardware accelerator board. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-11-1992.)