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
2008
In: NOLTA 2008. 2008 international symposium on nonlinear theory and its applications. Budapest, 2008..
Real-time moving object segmentation algorithm implemented on the Eye-RIS focal plane sensor-processor system
In: CiE 2008. Logic and theory of algorithms. 4th conference in computability in Europe. Proceedings. Athens, 2008. (Lecture notes in computer science 5028.).