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 fifth IEEE international workshop on cellular neural networks and their applications. CNNA 98. Proceedings. London, 1998.
Early segmentation in video compression using CNN processors
In: International workshop on descriptional complexity of automata, grammars and related structures. Preproceedings. Preprint Nr. 17. Magdeburg, 1999..
Grammar systems with bounded resources: on size complexity of grammar systems
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: IEEE International Symposium on Circuits and Systems, ISCAS 2015 Proceedings - IEEE International Symposium on Circuits and Systems (2015-J) IEEE, New York, pp. 1977-1980. ISSN 0271-4310
Analysis of parallel processor architectures for the solution of the Black-Scholes PDE