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
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
In: Engineering of intelligent systems. 14th international conference on industrial and engineering applications of artificial intelligence and expert systems, IEA/AIE. Proceedings. Budapest, 2001. (Lecture notes in artificial intelligence 2070.).
Short circuit detection on printed circuit boards during the manufacturing process by using an analogic CNN algorithm
Combination of adaptive resonance theory (ART) and cellular neural network (CNN) chips into a high-speed pattern recognition system. ( Research report of the Analogical and Neural Computing Laboratory, DNS-1-1999.)