Knyaz, V.; Knyaz, V.; Conen, N.; Luhmann, T.(2017):
Deep Learning of Convolutional Auto-encoder for Image Matching and 3D Object Reconstruction in the Infrared Range.3rd International Workshop on Recovering 6D Object Pose, ICCV
Conen, N.; Luhmann, T.; Maas, H.(2017):
Development and Evaluation of a Miniature Trinocular Camera System for Surgical Measurement Applications.PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, (2), pp. 1-12 , doi: 10.1007/s41064-017-0014-3
Conen, N.; Luhmann, T.; Maas, H.(2017):
Development and Evaluation of a Miniature Trinocular Camera System for Surgical Measurement Applications.Journal of Photogrammetry, Remote Sensing and Geoinformation Science (PFG), Vol. 85, Issue 2, pp. 127-138 , Weblink
Böge, M.; Knies, J.(2017):
Die Energie ist unter uns.In Porth M., Schüttrumpf H. (eds): Wasser, Energie und Umwelt. Springer Vieweg, Wiesbaden, 75-80 , doi: 10.1007/978-3-658-15922-1_10
Knies, J.(2017):
Durch Raumanalysen das energetische Potenzial von Abwasser heben.In: Porth M., Schüttrumpf H. (eds) Wasser, Energie und Umwelt. Springer Vieweg, Wiesbaden, S. 87-96 , doi: 10.1007/978-3-658-15922-1_12
Luhmann, T.:
Fundamentals of camera calibration and image orientation.UAV-Conference, Intergeo 2024, Stuttgart,
September 2024
Fincken, M.:
Machine Learning für flächendeckende Geothermie-Potentialanalysen im Kontext der geodatenbasierten Wärmeleitplanung.Künstliche Intelligenz in der Geodäsie und Geoinformation, BILDUNGSWERK VDV, Paderborn,
Juni 2024
Paulau, P.
; Hurka, J. ; Middelberg, J. ; Koch, S.:
Centralised monitoring and control of buildings using open standards.8th International Conference on Smart Data & Smart Cities (SDSC), Athen,
Juni 2024Weblink
Luhmann, T.:
Introduction to Close-Range Photogrammetry.VRscan3D project week, Vilnius,
Mai 2024
The aim of the PhD project is to develop an innovative approach for detection of the dynamic states of rotor blades during operation without contact and targeting more