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
1996
In: Pacific symposium on ciocomputing '96. Hawaii, 1996..
DNA computing based on splicing: universality results
Test results in an experimental system for optical detection of layout errors of printed circuit boards using CNN.( Research report of the Department of Image Processing and Neurocomputing, IPCN-1-1996.)