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: ERK'95. Zbornik cetrte elektrotehniske in racunalniske konference. Portoroz, 1995. Vol. B.
Cellular neural networks. Part 1. From a single cell to a supercomputer - a tutorial
Cellular neural networks for image deconvolution and enhancement: a microscopy toolkit. (Research report of the Analogical and Neural Computing Laboratory DNS-11-1995.)
In: Analysis of dynamical and cognitive systems. Advanced course Stockholm, 1993. Proceedings. Stockholm, 1993. (Lecture notes in computer science 888.).
Cellular neural networks - a tutorial on programmable nonlinear dynamics in space