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
2016
In: 15th International Workshop on Cellular Nanoscale Networks and their Applications VDE Verlag GmbH, Berlin, pp. 129-130.
Retina simulator challenges, image processing with a varying resolution sensor
In: Extended finite state models of language. Proceedings of the ECAI'96 workshop. 12th European conference on artificial intelligence. Budapest, 1996..
Colonies: a multi-agent approach to language generation
College of Engineering University of California, Berkeley, pp. 21.
New results and measurements related to dynamic image coding using CNN universal chips. (Memorandum of the Electronics Research Laboratory, UCB/ERL M96/58)
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