Norbert Krüger Professor, Dr. rer. nat. [Personal homepage]

Contact Information

Address	The Maersk Mc-Kinney Moller Institute Cognitive Vision Group University of Southern Denmark Niels Bohrs Alle 1 DK-5230 Odense M DENMARK
E-mail	norbert@mmmi.sdu.dk
Phones	(+45) 65 50 74 83 (+45) 27 78 74 83 (mobile)
Fax	(+45) 65 50 36 81

Research Interests

Biologically Motivated Computer Vision and Cognitive Robotics

Current Position

Specialization

Main field: Computer Vision, Biologically-motivated Vision, Robotics
Other fields: Cognitive Systems, Machine Learning

Selected Publications

(24 international journal publications or book chapters, more than 50 conference publications)

• F. Wörgötter, A. Agostini, N. Krüger, N. Shylo and B. Porr. Cognitive agents - a procedural perspective relying on the predictability of Object-Action-Complexes (OACs). Robotics and Autonomous Systems, 57(4), pp: 420-432, 2009.
• M. Felsberg, S. Kalkan and N. Krüger. Continuous Dimensionality Characterization of Image Structures. Image and Vision Computing 27:628--636, 2009.
• D. Kraft, N. Pugeault, E. Baseski, M. Popovic, D. Kragic, S. Kalkan, F. Wörgötter and N. Krüger. Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object Action Complexes. International Journal of Humanoid Robotics (IJHR), 2008, 5, 247-265.
• S. Kalkan, F. Wörgötter and N. Krüger. First-order and Second-order Statistical Analysis of 3D and 2D Structure. Network: Computation in Neural Systems, 18(2), pp. 129-160, 2007.
• P. König und N. Krüger (2006). Perspectives: Symbols as self-emergent entities in an optimization process of feature extraction and predictions. Biological Cybernetics 94(4):325-334.
• N. Krüger and M. Lappe and F. Wörgötter. (2004) Biologically Motivated Multi-modal Processing of Visual Primitives. Interdisciplinary Journal of Artificial Intelligence the Simulation of Behaviors, AISB Journal, 1(5):417-428.
• N. Krüger and Wörgötter, F. (2004). Statistical and deterministic regularities: Utilization of motion and grouping in biological and artificial visual systems. Advances in Imaging and Electron Physics, 131, 82-147.
• F. Wörgötter, N. Krüger, N., N. Pugeault, D. Calow, M. Lappe, M., Pauwels, K., Van Hulle, M. Tan, S. and Johnston, A. (2004) Early cognitive vision: Using Gestalt laws for task-dependent, active image processing. Natural Computing, 3, 293-321.
• N. Krüger and F. Wörgötter (2002). Multi Modal Estimation of Collinearity and Parallelism in Natural Image Sequences. Network: Computation in Neural Systems. 13(4): 553-576.
• N. Krüger (2001). Learning Object Representations using a priori Constraints within ORASSYLL. Neural Computation 13(2):389-410.
• L. Wiskott, J.M. Fellous, N. Krüger, C. von der Malsburg (1997). Face Recognition by Elastic Bunch Graph Matching. IEEE Transactions on Pattern Recognition and Machine Intelligence 19(7): 775-780.
• N. Krüger. An algorithm for the learning of Weights in Discrimination Functions using a priori Constraints (1997). IEEE Transactions on Pattern Recognition and Machine Intelligence, 19(7): 764-768.

PhD Students

• Emre Baseski
• Lars Baunegaard With Jensen
• Anders Kjćr-Nielsen (in co-operation with Prof. A. S. Sřrensen)
• Mila Popovic
• Sinan Kalkan (in co-operation with University of Goettingen, Germany)
• Dirk Kraft
• Florian Pilz (in co-operation with Aalborg University)
• Nicolas Pugeault (in co-operation with University of Goettingen, Germany)

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