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..
Application of direction constrained and bipolar waves for pattern recognition
In: Dennis Gabor. On centenary of his birth. Dennis Gabor memorial conference and symposium on holography and high resolution measurement techniques including information processing and precision measurement techniques. Budapest, 2000..
Dennis Gabor as the initiator of optical computing: Importance and prospects of optical computing and an optical implementation of the CNN-UM computer
Image segmentation using Markov random field model in fully parallel cellular network architectures.( Research report of the Analogical and Neural Computing Laboratory, DNS-9-1997.)