Development of a optical real-time multisensor system for high precision surface measurements and registration for surgical applications
2017-2022
Books and Papers
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2024
Perda, G.; Morelli, L.; Remondino, F.; Fraser, C.; Luhmann, T. (2024):
Analyzing marker-based, handcrafted and learning-based methods for automated 3D measurement and modelling. Optical 3D Metrology Workshop, Brescia
Paulau, P.; Hurka, J.; Middelberg, J.; Koch, S. (2024):
Centralised monitoring and control of buildings using open standards. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, doi: 10.5194/isprs-annals-X-4-W4-2024-169-2024 , Weblink
Sheikholeslami, Mohammad Moein; Kamran, Muhammad; Wichmann, Andreas; Sohn, Gunho (2024):
CornerRegNet: Building Segmentation from Overhead Imagery Using Oriented Corners in Deep Networks. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Sieberth, T.; Meindl, Michael; Sagmeiser, Bernhard; Franckenberg, Sabine; Ptacek, Wolfgang (2024):
Cost-effective 3D documentation device in forensic medicine. Forensic Science International
, doi: https://doi.org/10.1016/j.forsciint.2024.112005
Sheikholeslami, Mohammad Moein; Kamran, Muhammad; Wichmann, Andreas; Sohn, Gunho (2024):
Enhancing Polygonal Building Segmentation via Oriented Corners. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, doi: https://doi.org/10.48550/arXiv.2407.12256 , Weblink
Presentations
Luhmann, T.
:
Measuring Accuracy in Photogrammetry - Critical factors, Optimization and Verification.
University of Geodesy and Cartography, Moscow,
Dezember 2015
Gollenstede, A.
:
Dynamic Cartographic Visualization Methods for Limited Viewports.
GISCO the Geo-Information Science Colloquium, Gesellschaft für Geoinformatik (GfGI), Bamberg,
November 2015
Lorkowski, P. :
Monitoring of Continuous Environmental Phenomena.
GISCO the Geo-Information Science Colloquium, Gesellschaft für Geoinformatik (GfGI), Bamberg,
November 2015
Luhmann, T.
:
Einführung in die 3D-Bildmesstechnik – Grundlagen der Photogrammetrie und Kalibrierung, Genauigkeit und photogrammetrische Bildverarbeitung.
Leica Geosystems, Heerbrugg,
November 2015
Projects
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.
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Niklas Conen, M.Sc. Oliver Kahmen, M.Sc.
Geometric monitoring of the Bremen Cog
Beginn: 2017
funded by: German Maritime Museum, Leibniz Institute for Maritime History
The project focusses on the conception and implementation of the geometric monitoring of the Bremen Cog (appr. 25m x 8m x 8m). The Bremen Cog is the best preserved medieval merchant ship in the world. A large-volume optical 3D-measurement con... more
funded by: Niedersächsisches Vorab
This interdisciplinary project aims to develop autonomous underwater and surface vehicles. One subproject focusses on the development of calibration procedures and algorithms for the special challenges of underwater photogrammetry. Another subproject... more
people
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Prof. Dr. Thomas Brinkhoff (head) Robin Rofallski, M.Sc. (01.2017-12.2020) Tobias Werner, M.Sc. (02.2017-06.2020)
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Prof. Dr. Thomas Brinkhoff (head) Robin Rofallski, M.Sc. (01.2017-12.2020) Tobias Werner, M.Sc. (02.2017-06.2020)
Bachelor & Master Theses
Augmented Reality in der Flurbereinigung: Untersuchung zur Visualisierung der Besitzeinweisung (2024/2)
Untersuchung zur Georeferenzierung und Nutzung von Urkarten des Liegenschaftskatasters (2024/2)
Analyse und Vergleich der geometrischen Eigenschaften von Referenzdaten und KI-Ergebnissen für die automatische Gebäudeerkennung in Luftbildern (2024/2)
Maschinelles Lernen für die Identifikation von baulichen Erweiterungen an Gebäuden anhand geometrischer Merkmale von ALKIS- und durch KI bestimmten Hausumringen (2024/2)
Integration und Verteilung von ALKIS-Grunddaten und Fortführungsdaten in Echtzeit mittels Open-Source-Technologien (2024/2)