Prof. Dr. Thomas Vetter
Emeritus Graphics and Vision Group
Prof. University Basel 2002 - 2022
Curriculum Vitae
Thomas Vetter’s research at the University of Basel is directed at automated synthesis and analysis of images. His aim is the development and implementation of algorithms for the automatic representation of entire classes of objects which describe variability (e.g. faces, cars or movements). Synthesis and analysis are both required in the implementation to allow recognition of individual variations within the classes and synthesis of images of new class elements.
In addition to his work in the area of visualization and machine perception Thomas Vetter is also involved in research projects concerning human visual perception, where parametric image synthesis is applied to the investigation of the human visual system for image recognition in psycho-physical experiments.
At the University of Basel, Prof. Dr. Thomas Vetter played a key role in establishing and expanding research and study programms on information technology.
| 2002 - 2022 | Full professor for Computer Science at the University of Basel |
| 1999 - 2002 | Associate professor for Computer Graphics at the University of Freiburg |
| 1995 - 1999 | Research assistant at the Max-Planck-Institute for Biological Cybernetics, Tübingen |
| 1993 - 1995 | Helmholtz Fellow at the Max-Planck-Institute for Biological Cybernetics, Tübingen |
| 1991 - 1993 | Post-Doc (DFG-Fellow) with Prof. Dr. T. Poggio at the Center for Biological and Computational Learning, M.I.T. |
| 1989 - 1991 | Research Assistant at University of Ulm |
| 1989 | PhD in Biophysics at University of Ulm |
| 1979 - 1985 | Studies of physics and mathematics at University of Ulm |
Publications
V Blanz, T Vetter (2023) "A morphable model for the synthesis of 3D faces" Seminal Graphics Papers: Pushing the Boundaries, Volume 2, 157-164
V Blanz, T Vetter (2003) "Face recognition based on fitting a 3D morphable model" IEEE Transactions on pattern analysis and machine intelligence 25 (9), 1063-1074
P Paysan, R Knothe, B Amberg, S Romdhani, T Vetter (2009) A 3D face model for pose and illumination invariant face recognition 2009 sixth IEEE international conference on advanced video and signal based surveillance