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
2024
SENSORS, 24 (3). ISSN 1424-8220
Hologram Noise Model for Data Augmentation and Deep Learning
In: Results and trends in theoretical computer science. Colloquium in honor of Arto Salomaa. Proceedings. Graz, 1994. (Lecture notes in computer science 812.).
Cooperating grammars' systems: power and parameters