Current page: Members->List of Members->Markus Vincze
 

Markus Vincze
Vienna University of Technology
Membership Number: 13
Address: Institut für Flexible Automat, Karlsplatz 13,1040 Wien, AUSTRIA.
Email: vm@infa.tuwien.ac.at
Phone: +43-150-4144611
Fax: +43-158-8013619/9
URL: http://actipret.infa.tuwien.ac.at

Biographical Sketch
Markus Vincze received the Diplomingenieur degree from the Vienna in 1988 and the Master of Science from the Rensselaer Polytechnic Institute, Troy, U.S.A., in 1990, both in mechanical engineering with emphasise on robotics. He received the PhD in 1993 from Vienna University of Technology in Robotics. With a grant from the Austrian Academy of Sciences he spent post-doc years at HelpMate Robotics Inc., with J.E. Engelberger, and at the Yale University with Prof. G.D. Hager working on robust real-time tracking methods. Since 1995 he is leading the Sensors for Robotics Group at INFA. With national and EU-grants he employs five to seven researchers in this group. He was co-ordinator of the RobVision project, which had the successful final demonstration in December 2000. He is now free to devote all his efforts to ActIPret. Mr. Vincze serves as reviewer for the EU, the German research fund, journals such as IEEE Transactions on Robotics and Automation, IJRR, FAIM, several conferences including IEEE ICRA, IROS, and SIRS. He published 45 papers in refereed journals and conferences in the area of vision and together with G.D. Hager he edited a book on "Robust Vision for Vision-based Control of Motion". Beginning fall 2001 he will coordinate the "Cognitive Vision Project" ActIPret – Activity Interpretation, within the same Action Line as ECVision.

Vienna University of Technology (Institute of Flexible Automation)

Pattern Recognition and Image Processing Group (PRIP)

Institute of Computer Aided Automation

The Pattern Recognition and Image Processing Group was founded in the year 1990 and is headed by Prof. Kropatsch. It is concerned with the theoretical foundations of the field and selected applications in natural and technical sciences both in teaching and in research.

The group plays an active role in various national and international activities. It coordinated from 1994 to 2000 an Austrian wide research program in the field of digital image processing and pattern recognition and has many active cooperations with other university institutes within Austria and abroad. The group coordinates an ERASMUS-Program and has organized international conferences (among them DAGM 1994, ICPR 1996 and ICANN 2001).

PRIP participates in the IST-Project 3D Murale (EC 5th Frame Program), project partners are Brunel University, ETH Zürich, Leuven University, Eyetronics, Imagination and TU-Graz.

Since 2000 PRIP is leading two out of five research areas within the K+ Competence Center Advanced Computer Vision (ACV).

The research activities of the group include theoretical and application oriented research. The areas of active theoretical research are: Graph-based Image Analysis; 3-D Computer Vision; Hierarchical Representations and Robust Methods; Neural Networks and Adaptive Methods; Appearance based Object Recognition.

Application oriented research using the results from the theory is done in the following areas: Micro-array Image Analysis in Biotechnology; Art History; Computer Aided Classification of Ceramics; Industrial Vision; Image Databases; Image Compression; Face Recognition.

Institute of Computer Aided Automation

The Institute of Flexible Automation is part of the Electrical Engineering Department at the Vienna University of Technology. INFA employs 32 persons most of them researchers graduated in the fields of Electrical and Mechanical Engineering, Business Management, Physics, and Computer Science. INFA strongly emphasises the close co-operation with industry. As a consequence three quarters of the employees are directly funded by national, European and American industry.

The expertise of INFA comprises holistic simulation of manufacturing, technology planning, metrology and quality insurance, and sensing in automation and robotics. The largest group (Sensing for Robotics) within INFA is funded by industry and research grants and developed expertise in machine vision over the last eight years. These projects use the experience of INFA in visual inspection, automated quality assurance, colour imaging processes, high-speed controlled shuttering and vision-based control of motion. A few of the industrial partners of INFA are FESTO, AVL, IAEA, Daimler Chrysler, Rauscher, Rockwell Automation, and Wagner-Birò.

The Sensing for Robotics Group at INFA is focused on enhancing the capability of robots and automation equipment using video and range cameras. The national research project Portime (1996 to 2001) has the goal of devising robust cue integration methods for real-time tracking and finding (task-driven recognition). Knowledge about the target is used to focus the attention and to reduce the processing burden. These results have been exploited and enhanced in the Esprit project RobVision (1998-2000), which developed integration techniques for an active vision system to navigate a climbing robot into a ship section. With the shortly starting ActIPret project, INFA works in a consortium to interpret activities of expert users and to build up an indexable activity plan. Using the cognitive ability of the vision system it will become possible to understand the expert's activities. The present approaches focus on task/context-driven vision, on specialised/focused processing and on the integration of multiple cues. In summary, the vision of INFA is to develop a cognitive vision system that enables personal robot tasks such as bringing objects and loading the dish washer in home environments. The technical goal is therefore to develop robust perceptive vision methodologies and techniques for tracking and object finding.


Site generated on Friday, 06 January 2006