Prof. Dr. habil. Till Sieberth

Prof. Dr. habil. Till Sieberth

Professur für Photogrammetrie
E-Mail E-Mail
Room G 210

Books and Papers

Photogrammetrie - Laserscanning - Optische 3D-Messtechnik. Beiträge der Oldenburger 3D-Tage und des BIMtages 2024

2024
Wichmann Verlag, Berlin/Offenbach, 414 S.

Semantic bone structure segmentation in 2D image data: Towards total knee arthroplasty

2024
Artificial Intelligence XLI - 44rd SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024, Proceedings. Lecture Notes in Computer Science (LNCS), Springer

Untersuchungen zu einem KI-basierten SLAM-Verfahren für ein trinokulares Kamerasystem zur 3D-Erfassung der Knieoberfläche

2024
Luhmann/Sieberth (Hrsg.): Photogrammetrie-Laserscanning-Optische 3D-Messtechnik, Wichmann Verlag, Berlin/Offenbach, S. 252-261.

Augmented Reality in Forensics and Forensic Medicine - Current Status and Future Prospects

2023
Golomingi, Raffael Dobay, Akos Franckenberg, Sabine Ebert, L. Sieberth, T.
Science & Justice

Presentations

Forensic Photogrammetry

September 2023
Abschlusskolloquium Prof. Dr.-Ing. habil. Thomas Luhmann

Projects

Funded by Federal Ministry for Economic Affairs and Energy
Subproject Optical 3D Measurement Technology:
For making of reliable wind turbine runtime extension assessments, a new method is being developed that takes into account the geometry and modal properties of the respective rotor blade. These are determined using optical 3D measure... more
Funded by State of Lower Saxony and VolkswagenStiftung, zukunft.niedersachsen
The research network DiViAS brings together previously rarely interlinked methods and practices in the digitization, research and representation of collections from colonial contexts. The project will systematically combine expertise from museum studies, history and cultural stud... more

Bachelor & Master Theses

Analysen zur Herstellung der Orientierung einer Zeilenkamera in der Nahbereichsphotogrammetrie am Beispiel der HAIP BlackIndustry SWIR 1.7 Max

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