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
1998
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 45 (3)., pp. 205-215.
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.
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.
Computing with front propagation: evolving interfaces and active contour models in continuous-time CNN. (Research report of the Analogical and Neural Computing Laboratory, DNS-9-1998.)
In: Conference on Modelling Fluid Flow (CMFF’12). The 15th International Conference on Fluid Flow Technologies, 2012-09-04 - 2012-09-07, Budapest, Magyarország.
Accelerating Unstructured Finite Volume Solution of 2-D Euler Equations on FPGAs
Analogic Macro Code (AMC). Extended assembly language for CNN computers. Version 1.1.(Research report of the Analogical and Neural Computing Laboratory, DNS-10-1998.)