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
2004
In: Cellular Neural Networks and their Applications. Proceedings of the 8th IEEE international workshop Budapest (CNNA 2004).
Bayesian incorporation of multiple scales in optical flow estimation
Programmable opto-electronic CNN implementation provides a new and powerful tool for image processing applications. (Research report of the Analogical and Neural Computing Laboratory DNS-9-2001.)
Locally adaptive image processing based on PDE and non-PDE related diffusion models. ( Research report of the Analogical and Neural Computing Laboratory DNS-3-2001)