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
1993
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 40 (3)., pp. 222-227.
On the applications of the cellular neural network paradigm in mechanical vibrating systems
In: Digital Holography and Three-Dimensional Imaging, DH 2015 Digital Holography and Three-Dimensional Imaging, DH 2015 Optical Society of America, Washington, pp. DTh1A.7.
A new compact self-referenced holographic setup tested on a fluorescent target
In: IEEE International Symposium on Circuits and Systems, ISCAS 2015 Proceedings - IEEE International Symposium on Circuits and Systems (2015-J) IEEE, New York, pp. 401-404. ISSN 0271-4310
Overview of CNN research: 25 years history and the current trends
A framework for the classification of auditory signals with cellular neural networks (Research report of the Dual and Neural Computing Systems Laboratory DNS-3-1993.)