Prof. Dr.-Ing. Volker Rodehorst
Since 2012, Volker Rodehorst has been a full professor for Computer Vision in Engineering at Bauhaus-Universität Weimar, in both the Faculty of Media and the Faculty of Civil & Environmental Engineering. Additionally, he has served since 2020 as director of the Institute for Construction Informatics, Mathematics, and Building Physics (IBMB).
Volker Rodehorst was born in 1968 and graduated from the Technical University of Berlin (TUB) in 1994 with a degree in computer science. His diploma thesis investigated "Shape analysis of complex objects under controlled motion". He received his Ph.D. in 2003 from the Faculty of Civil Engineering & Applied Geosciences focusing on "Photogrammetric 3D reconstruction at close range using auto-calibration with projective geometry". In 2013, he completed his habilitation in the Faculty of Electrical Engineering & Computer Science with a thesis titled "Photogrammetric computer vision for spatio-temporal 3D reconstruction".
From 1994 on, Volker Rodehorst worked as a research assistant in the Computer Vision group at TUB on the DFG project "Highly parallel stereo image processing (PARVIS)". Between 1995 and 1997, he managed the DFG project "Digital image analysis in architectural photogrammetry" within the Photogrammetry and Cartography group. From 1999 to 2001, he directed the BMBF project "Remote sensing in a gigabit network - automatic reconstruction of surfaces (FiGARO)". From 2004 to 2009, he was a research assistant in the Computer Vision & Remote Sensing group, working on the subproject "Automatic 3D reconstruction of buildings by using high-resolution video sequences (ARTIST)" as part of a Chinese-German DFG bundle. In 2011, he transitioned to industrial metrology, developing algorithms for the 3D reconstruction of CT data at Wenzel Volumetrik GmbH in Singen.
Volker Rodehorst is currently conducting research at the Bauhaus-Universität Weimar in the following areas:
- 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
- Surface reconstruction - shape from stereo, motion, shading, structured light, silhouette or focus
- Image analysis and object recognition – development of machine learning and artificial intelligence methods
In his research, he combines a solid theoretical foundation with practical applications.
- 2025: Teaching award from the Bauhaus-Universität Weimar for the courses Image Analysis and Object Recognition (IAOR), Spatial Information Systems (GIS) and Deep Learning for Computer Vision (DLCV), which students rated as particularly successful.
- 2024: Volker Rodehorst was recognized as an outstanding reviewer for the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) in Seattle, USA.
- 2023: The TexBiG dataset for analyzing complex document layouts in the digital humanities was honored with the FAIRest Datasets Award by the Thuringian Competence Network for Research Data Management (TKFDM).
- 2022: Awarded as outstanding reviewer by the journal Measurement Science and Technology from IOP Publishing.
- 2022: The company won the Digital and Open-Source Prize Thuringia in the “Digital Products & Services” category.
- 2021: As an associate of the startup Infralytica, Volker Rodehorst received the German Engineering Award for Road & Traffic (BSVI) in the “Innovation & Digitization” category.
- 2008: Volker Rodehorst was honored at the ISPRS Congress in Beijing with a President’s Citation for his work as the scientific secretary of WG III/2 on surface reconstruction.
- 1994: Volker Rodehorst received an award from the Computer Science department at Technical University of Berlin for his outstanding academic performance.
