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..
Analogic computing: system aspects of analogic CNN sensor computers
In: 1998 international symposium on nonlinear theory and its applications. NOLTA'98. Proceedings. Crans-Montana, 1998. Vol. 2. 1998. (Presses Polytechniques et Universitaires Romandes.).
CNN computing infrastructure hosting nonlinear spatiotemporal algorithms - a review
In: Képfeldolgozók és alakfelismerok 2. konferenciája. (Second conference of the Hungarian Image Processing and Pattern Recognition Society.) Noszvaj, 2000..
Noise estimation and measures for detection of clustered microcalcifications