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Dominik Laupheimer
Dominik Laupheimer
Institute for Photogrammetry, University of Stuttgart
Verified email at ifp.uni-stuttgart.de - Homepage
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Cited by
Cited by
Year
The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo
M Kölle, D Laupheimer, S Schmohl, N Haala, F Rottensteiner, JD Wegner, ...
ISPRS Open Journal of Photogrammetry and Remote Sensing 1, 100001, 2021
672021
Ultra-high precision UAV-based LIDAR and dense image matching
M Cramer, N Haala, D Laupheimer, G Mandlburger, P Havel
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018
262018
Hybrid georeferencing, enhancement and classification of ultra-high resolution UAV lidar and image point clouds for monitoring applications
N Haala, M Kölle, M Cramer, D Laupheimer, G Mandlburger, P Glira
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
182020
Semantic urban mesh enhancement utilizing a hybrid model
P Tutzauer, D Laupheimer, N Haala
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
182019
Neural networks for the classification of building use from street-view imagery
D Laupheimer, P Tutzauer, N Haala, M Spicker
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018
182018
Hybrid georeferencing of images and LiDAR data for UAV-based point cloud collection at millimetre accuracy
N Haala, M Kölle, M Cramer, D Laupheimer, F Zimmermann
ISPRS Open Journal of Photogrammetry and Remote Sensing 4, 100014, 2022
172022
The importance of radiometric feature quality for semantic mesh segmentation
D Laupheimer, MHS Eddin, N Haala
DGPF annual conference, Stuttgart, Germany. Publikationen der DGPF 29, 205-218, 2020
122020
On the association of LiDAR point clouds and textured meshes for multi-modal semantic segmentation
D Laupheimer, MH Shams Eddin, N Haala
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
112020
Juggling with representations: On the information transfer between imagery, point clouds, and meshes for multi-modal semantics
D Laupheimer, N Haala
ISPRS Journal of Photogrammetry and Remote Sensing 176, 55-68, 2021
62021
Klassifikation hochaufgelöster LiDAR-und MVS-Punktwolken zu Monitoringzwecken
M KÖLLE, D LAUPHEIMER, N HAALA
Dreiländertagung der DGPF, der OVG und der SGPF in Wien, Österreich …, 2019
42019
Which 3D Data representation does the crowd like best? Crowd-based active learning for coupled semantic segmentation of point clouds and textured meshes
M Koelle, D Laupheimer, V Walter, N Haala, U Soergel
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021
32021
Kombinierte Analyse hochpräziser Punktwolken aus UAV-Photogrammetrie und-Laserscanning im Hinblick auf Setzungsmessungen. 20. Internationale Geodätische Woche Obergurgl 2019 …
N Haala, G Mandlburger, M Cramer, D Laupheimer, M Kölle
Herbert Wichmann Verlag, VDE Verlag GmbH, Berlin und Offenbach, 2019
32019
Deep Learning for the Classification of Building Facades
D Laupheimer, N HAALA
Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagungin …, 2018
32018
Use and Optimization of Paid Crowdsourcing for the Collection of Geodata
V Walter, D Laupheimer, D Fritsch
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2016
22016
Multi-modal semantic mesh segmentation in urban scenes
D Laupheimer, N Haala
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022
12022
On the information transfer between imagery, point clouds, and meshes for multi-modal semantics utilizing geospatial data
D Laupheimer
2022
Preview: Semantic Interpretation of Urban Scenes
D Laupheimer
https://www.ifp.uni-stuttgart.de/en/research/photogrammetric_computer_vision …, 0
Potenzial ultrahochauflösender und-genauer UAV-basierter 3D-Datenerfassung
M CRAMER, G MANDLBURGER, D LAUPHEIMER
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