Oliver Kahmen, M.Sc.

Digital visual testing on welds under water by high-resolution optical 3D surface reconstruction
Collaborative Spatial Artificial Intelligence in Realtime
mail:
tel: +49 (0) 441 - 7708 - 3349
room: G 207

Books and Papers

Rofallski, R.; Kahmen, O.; Luhmann, T. (2022): Investigating distance-dependent distortion in multimedia photogrammetry for flat refractive interfaces. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2/W2-2022, 127–134 , doi: 10.5194/isprs-archives-XLVIII-2-W2-2022-127-2022 , Weblink
Luhmann, T.; Rofallski, R.; Kahmen, O. (2022): Möglichkeiten und Grenzen der hochgenauen photogrammetrischen Objekterfassung unter Wasser. DVW/DHyG Fachtagung "Hydrographie - Messen mit allen Sinnen", Schriftenreihe des DVW, Band 102, pp. 109-116
Kahmen, O.; Luhmann, T. (2022): Monocular Photogrammetric System for 3D Reconstruction of Welds in Turbid Water. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, Vol. 90, Issue 1, pp. 19-35 , doi: 10.1007/s41064-022-00191-2

Presentations

Kahmen, O. : Digitale Sichtprüfung von Schweißverbindungen unter Wasser durch photogrammetrische Verfahren. 9. BIM-Tag / 20. Oldenburger 3D-Tage, September 2022

Projects

Digital visual testing on welds under water by high-resolution optical 3D surface reconstruction

2022-2025
funded by: Federal Ministry for Economic Affairs and Climate Action
The goal of the project is to supplement the classic visual inspection (VT) of welded joints under water with an optical 3D measurement system. Based on high-resolution 2D (image) data, metric 3D (surface) data will be generat... more
people
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Oliver Kahmen, M.Sc.

Collaborative Spatial Artificial Intelligence in Realtime

2021-2024
funded by: Bundesministerium für Bildung und Forschung
The Project – „CoSAIR – Collaborative Spatial Artificial Intelligence in Realtime“ is funded by the Federal Ministry of Education and Research within the program „Research at Universities of Applied Sciences“ in order to create, consolida... more
people
Prof. Dr. Sascha Koch (head) Tobias Neiß-Theuerkauff, M.Sc. (-03.2024) Oliver Kahmen, M.Sc. (04.2022-07.2022) Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann Mareike Fincken, M.Sc. (09.2023-)

Development of a optical real-time multisensor system for high precision surface measurements and registration for surgical applications

2017-2022
funded by: European Fonds for Regional Development (EFRE)
The project objective is the investigation of imaging techniques and the development of special methods based on intraoperative and preoperative data. The field of application is primarily in orthopedics, however, in principle the problem can be tran... more
people
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Niklas Conen, M.Sc. Oliver Kahmen, M.Sc.

Bachelor & Master Theses


Bildbasierte Detektion von Rissen in Schweißverbindungen mit den Methoden des Deep Learnings (2022/10)
supervisors

Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann

Oliver Kahmen, M.Sc.

Untersuchung verschiedener Bildanalyseverfahren zur Orientierung von Bildsequenzen eines Dreikamerasystems (2020/2)
supervisors

Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann

Oliver Kahmen, M.Sc.

cooperation

Iro – Institut für Rohrleitungsbau

Entwicklung eines Prozesses zur Detektion von Rissen auf Schweißnähten durch digitale Bildverarbeitung (2020/1)
supervisors

Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann

Oliver Kahmen, M.Sc.

cooperation

Jade Hochschule: Studienort Oldenburg: IAPG

Untersuchung von Orientierungs- und Matchingverfahren für die hochgenaue 3D-Oberflächenerfassung von Schweißnähten mit einem mobilen Kamerasystem (2018/9)
supervisors

Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann

Oliver Kahmen, M.Sc.