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Horst Bischof
Graz University of Technology
Membership Number: 33
Address: Institute for Computer Graphics and Vision, TU Graz, Inffeldgasse 16 2. OG, A-8010 Graz, AUSTRIA
Email: bischof@icg.tu-graz.ac.at
Phone: +43-316-873-5014
Fax: +43-316-873-5050
URL:

Biographical Sketch
HORST BISCHOF received his M.S. and Ph.D. degree in computer science from the Vienna University of Technology in 1990 and 1993, respectively. In 1998 he got his Habilitation (venia docendi) for applied computer science. Currently he is Professor at the Institute for Computer Graphics and Vision at the Technical University Graz, Austria. H.~Bischof is also Key-researcher at the recently founded K+ Competence Center ``Advanced Computer Vision'' where he is leading the research projects in the area of classification. His research interests include neural networks, adaptive methods for computer vision, object recognition, and learning, where he has published more than 120 scientific papers published in journals and major conferences, and he co-authored/edited six books.

Horst Bischof was co-chairman of international conferences (ICANN01, DAGM94), and local organizer for ICPR'96. Currently he is Associate Editor for Pattern Recognition, Pattern Analysis and Applications, and Computer and Informatics.

Graz University of Technology (TU Graz) - Institute of Computer Graphics and Vision

The Institute of Computer Graphics and Vision (ICG) was founded in 1992 and is headed by Prof. Franz Leberl. Being the only Austrian academic group with the charter to address both Computer Vision and Computer Graphics we are carefully nurturing a culture of Digital Visual Information Processing to resolve the artificial boundaries between computer graphics and computer vision. We look at the world with sensors, create models of the world's objects from the sensed data, and organize the result for visual computation and use. The research at ICG is focused on following topics: Computer Graphics, Medical Computer Vision, Object Reconstruction and Recognition, and Remote Sensing. The Institute is home to 7 civil service positions and about another 15 "soft money" positions. During the most recent 5-year period, the Institute was responsible for 62 diploma theses concluded in Telematics, and the award of 20 doctorates. Most recently it has become home to a segment of the VRVis-K-Plus Center (actually centered in Vienna), taking responsibility for the Virtual Habitat segment of the project with a team in Graz.

In the area of cognitive vision systems the research interests of ICG are focused on the recognition and representation of objects and scenes. The main emphasize is on recognition of complex objects in real-world viewing conditions, such as complex backgrounds, occlusions, illumination variations etc. In particular, appearance based (view-based) object representation methods based on subspace methods (like principal component analysis, canonical correlation analysis, and non-negative matrix factorization) have received considerable attention. We have developed robust recognition as well as robust learning methods. The applications of the developed methods range from robot vision in an industrial setting to surveillance and monitoring tasks. Recently we have started to use these methods for robot navigation using panoramic sensors.


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