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
2001
In: Circuit paradigm in the 21st century. ECCTD '01. Proceedings of the 15th European conference on circuit theory and design. Espoo, 2001. Vol. 1..
An analogic CNN algorithm - a switch implementation
In: IEEE 19th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS) Slovak University of Technology in Bratislava, Bratislava, pp. 12-15.
Dual-pixel CMOS APS Architecture for Intra-frame Speed Measurement
Programmable opto-electronic CNN implementation provides a new and powerful tool for image processing applications. (Research report of the Analogical and Neural Computing Laboratory DNS-9-2001.)
Locally adaptive image processing based on PDE and non-PDE related diffusion models. ( Research report of the Analogical and Neural Computing Laboratory DNS-3-2001)