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
2004
In: Cellular Neural Networks and their Applications. Proceedings of the 8th IEEE international workshop Budapest (CNNA 2004).
Bi-i: a standalone cellular vision system. Part II: Topographic and non-topographic algorithms and related applications
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)