Current page: Members->List of Members->Gerhard Sagerer
 

Gerhard Sagerer
University of Bielefeld
Membership Number: 16
Address: Postfach 100131, D-33501 BIELEFELD
Email: sagerer@TechFak.Uni-Bielefeld.DE
Phone: (+49 521) 106-2935
Fax: (+49 521) 106-2992
URL:

Biographical Sketch
Gerhard Sagerer holds a chair in computer science and is Vice-Chancellor of the University of Bielefeld. He received the diploma and the Dr.-Ing. degree in computer science from the University of Erlangen-Nuernberg, Erlangen, Germany, in 1980 and 1985, respectively. In 1990 he received the venia legendi in computer science from the Technical Faculty of this university. He has held positions at the Institute for Pattern Recognition of the University of Erlangen-Nuernberg and the Bavarian Research Centre for Artificial Intelligence. Additionally he has been a visiting professor at the Department of Computer Science and the Centre for Visual Sciences of the University of Rochester. Dr. Sagerer is associate Editor of the IAPR Pattern Recognition Letters. He has published more than 150 technical papers in the areas of speech and image processing with applications in medicine and industrial scenes and is author of two books on knowledge representation for image understanding and on the architecture of speech dialog systems. His fields of research are computer vision and speech understanding including artificial intelligence techniques and the application of pattern understanding methods to natural science domains.

University of Bielefeld, UB
Introduction

The Research Group for Applied Computer Science is part of the Department of Computer Science within the Faculty of Technology. The group participates in several graduate programs (`Task-orientated Communication', `Structure Formation', `Bioinformatics', and `Strategies and Optimization of Behaviours'), the International Graduate School in `Bioinformatics and Genome Research', and the Collaborative Research Center `Situated Artificial Communicators'.

The Applied Computer Science Group is conducting research in the area of pattern analysis, computer vision, and speech understanding. Common goal is to compute a symbolic description for real sensor signals, which is appropriate for a given task. Currently the problem domains of man-machine communication using the modalities vision and speech, dialog systems and applications to the field of natural sciences are investigated.

The research group has a staff of 20 PhD students, 2 post-doctoral researchers, 1 assistant professor and 1 full professor.

Research Focus

The main research activities of the group concern problems in the field of pattern recognition, automatic signal interpretation, cognitive systems, and computer vision.

A considerable amount of the research efforts are carried out within the Collaborative Research Center `Situated Artificial Communicators' which is to model the ability of a human being to understand visual and acoustic information, to speak, and to plan and execute actions. To fulfil the requirements of this demanding project statistical and knowledge-based methods are combined in a hybrid system. Especially techniques for object recognition, modelling of mechanical assemblies, qualitative modelling of spatial relations, recognition of manipulation actions, integration of speech and vision processing using a probabilistic reasoning calculus, and architectures for large distributed pattern analysis systems are developed.

A further focus of research is concerned with the development of techniques for the intelligent navigation in digital image databases. In order to formulate the database queries on a natural way, multimodal interaction by gesture, speech, and keybord/mouse is investigated. Besides the low-level vision tasks we concentrate on intelligent strategies which dynamically learn from the user's feedback the relevant aspects of the current and future queries. In addition we work with mosaic images to provide a compact representation for scene exploration. Our research is primarily focused on developing appropriate algorithms and heuristics for generating mosaics and suitable data structures for representing them. The experience gained from building complex artificial communicators, developing intelligent retrieval systems, and working with mosaic images can directly be used for the proposed project.

Further research activities in our group are the development of spoken language dialogue systems, video-based handwriting recognition, the analysis of biological images, and flexible protein docking.

Connections with industry

In addition to these projects several cooperations with industrial partners in the fields of image databases (DTS GmbH), content-based image retrieval (ADAM OPEL AG, Infineon Technologies AG, Honda Research & Development Europe), mobile internet services (Bertelsmann AG), image analysis (DaimlerChrysler AG), analysis of nuclear magnetic resonance spectra (BASF AG), analysis of microarray images (Epigenomics GmbH), and man machine interaction (Boehme Datentechnik) are being pursued.


Site generated on Friday, 06 January 2006