Research Group on Visual Computation

Our research focuses on computational models for visual observation and interpretation of the world. The main objective is to develop geometric, variational and probabilistic models of visual object extraction, interpretation and reconstruction. These models are used to tackle scientific challenges such us segmentation, geometric alignment and fusion of images provided by various sensors and optics, as well as 3D object modeling and analysis.


Zoltan Kato
University of Szeged
Institute of Informatics
P.O.Box 652
H-6701 Szeged
Tel: +36 62 546 399 (office)
Fax: +36 62 546 397
Map: Szeged, Árpád tér 2


Zoltan Kato, PhD (Head)
Levente Kovacs, PhD (Research Associate, part time)
Andras Majdik, PhD (Research Associate, part time)
Jozsef Molnar, PhD (Research Associate, part time)
Attila Tanacs, PhD (Assistant Prodessor, part time)
Atul Rai (Research Assistant)
Csaba Molnar (PhD Student)
Zsolt Santa (PhD Student)
Robert FRohlich (visiting MSc Student)
Peter Racz (MSc Student)
Sandor Laczik (MSc Student)

External Collaborators

Ian Jermyn, Department of Mathematical Sciences, Durham University, UK
Josiane Zerubia, Ayin Research Group, INRIA-Sophia Antipolis, France
Levente Tamas, Faculty of Automation and Computer Science, Tehnical University of Cluj Napoca, Romania
Natasa Sladoje, Faculty of Technical Sciences, University of Novi Sad, Serbia
Joakim Lindblad, Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala, Sweden

Former Members

Rui Huang, PhD (Research Associate)
Endre Juhasz (MSc Student)