Professor Dr.

Reinhard Klein

Head of Computer Graphics Group
Endenicher Allee 19A, Room
D-53115 Bonn
Phone: +49 (0) 228 73-4201
Fax: +49 (0) 228 73-4212

Reinhard Klein studied Mathematics and Physics at the externUniversity of Tübingen, Germany, from where he received his MS in Mathematics (Dipl.-Math.) in 1989 and his PhD in computer science in 1995. In 1999 he received an appointment as lecturer ("Habilitation") in computer science also from the University of Tübingen, with a thesis in computer graphics. In September 1999 he became an Associate Professor at the externUniversity of Darmstadt, Germany and head of the research group externAnimation and Image Communication at the externFraunhofer Institute for Computer Graphics. Since October 2000 he is professor at the University of Bonn and director of the Institute of Computer Science II.


Ongoing Projects

The image-based acquisition of complex optical material properties is one of the major research topics in our group. The goal of this project is the development of novel techniques for the efficient and high-fidelity capture of high-dimensional material representations like, e.g., the bidirectional texture function (BTF). Example data is publicly available at the BTF database Bonn.
In this project we strive to derive a statistical model of the space spanned by a database of measured BTFs. This way, we intend to develop a dramatically more general representation of materials than is currently available. The goal is to reparameterize the high-dimensional material space to allow perceptually meaningful interpolations between the acquired samples, i.e., to generate new materials that blend qualities of samples from the dataset.
Our group deals with the efficient representation, management and visualization of 3D surface data that gets captured incrementally by an autonomously flying drone. This data will be integrated into a global 3D map.
3D acquisition devices usually produce unstructured point-clouds as primary output. A challenge in this context is the decomposition of the point-cloud data into known parts in order to introduce abstractions of the originally unorganized data. This information can be used for compression, recognition and reconstruction.
In this project an interactive visual approach to shape analysis of 3D structures is taken. As concrete application serves here the analysis of the skull morphology of European mice and rats based on high-resolution 3D scans.
Database of high quality measured SVBRDFs

Completed Projects