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
1995
In: ACASP'95. Adaptive systems in control and signal processing. 5th IFAC symposium. Preprints. Budapest, 1995.
Parametric uncertainty and control performance in stochastic adaptive control
Simulating nonlinear waves and partial differential equations via CNN. Part 2. Typical examples. (Research report of the Analogical and Neural Computing Laboratory DNS-10-1995.)