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
1994
In: Proceedings of the third IEEE international workshop on cellular neural networks and their applications. CNNA-94. Rome, 1994.
An experimental system for path tracking of a robot using a 16*16 connected component detector CNN chip with direct optical input
Analogic mammogram diagnostic workstation boosted up with cellular neural networks. Version 1.1. (Research report of the Analogical and Neural Computing Laboratory, DNS-3-1997.)
Analog combinatorics and cellular automata - key algorithms and layout design. (Research report of the Analogical and Neural Computing Laboratory. DNS-7-1994.)