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: The 2000 IEEE international symposium on circuits and systems. Emerging technologies for the 21st century. ISCAS 2000. Geneva, 2000. Vol. 2..
Review of CMOS implementations of the CNN universal machine-type visual microprocessors
Dynamic analogic CNN algorithms for a complex recognition task - a first step a bionic eyeglass. (Research report of the Analogical and Neural Computing Laboratory DNS-4-1995.)
Analogic CNN models of some qualitative pattern recognition tasks in the inferotemporal cortex. (Research report of the Neuromorphic Information Technology, Graduate Center. NIT-1-1995.)
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