Since 2012, Volker Rodehorst is full professor for Computer Vision in both the Faculty of Media and the Faculty of Civil Engineering at the Bauhaus-Universität Weimar.
Volker Rodehorst was born in 1968 and graduated 1994 in Computer Science at the Technical University of Berlin (TUB). In 2003, he received his PhD in the faculty of Civil Engineering and Applied Geosciences with a thesis on "photogrammetric 3D reconstruction at close range using auto-calibration with projective geometry". In 2013, he habilitates in the Faculty of Electrical Engineering and Computer Science on "photogrammetric computer vision for spatio-temporal 3D reconstruction".
In 1994, Volker Rodehorst worked as research assistant in the computer vision group at TUB for the DFG project "highly parallel stereo image processing (PARVIS)". From 1995 to 1997 he was in the photogrammetry and cartography group responsible for the DFG project "digital image analysis in architectural photogrammetry" and led from 1999 to 2001 the BMBF project "remote sensing in a gigabit network - automatic reconstruction of surfaces (FiGARO)". In the years from 2005 to 2009 he was as research assistant in the computer vision & remote sensing group responsible for the subproject "automatic 3D reconstruction of buildings by using high-resolution video sequences (ARTIST)" in a Sino-German DFG bundle. In 2011 he moved to the industrial metrology and developed algorithms for 3D reconstruction of CT data at the Wenzel Volumetrik GmbH in Singen.
Volker Rodehorst received 1994 a price of the Computer Science department at TUB for best academic performance and in 2008 at the ISPRS congress in Beijing a presidential citation for his work as scientific secretary in the WG III/2 for surface reconstruction.
Currently, Volker Rodehorst does research in the areas of image processing (feature extraction, description and tracking in image sequences), sensor orientation (modern calibration and orientation, automatic determination of camera path and ego-motion), 3D reconstruction (dense image matching, triangulation and multi-view analysis) as well as surface reconstruction (shape from stereo, motion, shading, structured light, silhouette or focus).