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
2000
In: Proceedings of the 6th IEEE international workshop on cellular neural networks and their applications. (CNNA 2000). Catania, 2000..
Collision prediction via the CNN universal machine
In: Képfeldolgozók és alakfelismerok 2. konferenciája. (Second conference of the Hungarian Image Processing and Pattern Recognition Society.) Noszvaj, 2000..
Futási eredmények az analogikai CNN-UM vizuális mikroprocesszorokon
In: 13th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Turin, Italy Aug. 29-31, 2012, 2012-08-29 - 2012-08-31, Torino, Olaszország.
Study on application of reference conjugated hologram for aberration correction of multiple object planes
In: 13th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Turin, Italy Aug. 29-31, 2012, 2012-08-29 - 2012-08-31, Torino, Olaszország.
Azimuth estimation of distant, approaching airplane in see-and-avoid systems
In: 13th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Turin, Italy Aug. 29-31, 2012, 2012-08-29 - 2012-08-31, Torino, Olaszország.
Automatic generation of locally controlled arithmetic unit via floorplan based partitioning