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Martin Weinmann
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Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers
M Weinmann, B Jutzi, S Hinz, C Mallet
ISPRS Journal of Photogrammetry and Remote Sensing, 2015
6162015
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
X Sun, P Wang, Z Yan, C Wang, W Diao, J Chen, J Li, Y Feng, T Xu, ...
arXiv preprint arXiv:2103.05569, 2021
2462021
Semantic 3D scene interpretation: a framework combining optimal neighborhood size selection with relevant features
M Weinmann, B Jutzi, C Mallet
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014
2242014
Feature relevance assessment for the semantic interpretation of 3D point cloud data
M Weinmann, B Jutzi, C Mallet
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2013
2122013
Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas
M Weinmann, S Urban, S Hinz, B Jutzi, C Mallet
Computers & Graphics, 2015
1512015
Evaluation of HoloLens tracking and depth sensing for indoor mapping applications
P Hübner, K Clintworth, Q Liu, M Weinmann, S Wursthorn
Sensors 20 (4), 1021:1-1021:23, 2020
1212020
Contextual classification of point cloud data by exploiting individual 3D neighborhoods
M Weinmann, A Schmidt, C Mallet, S Hinz, F Rottensteiner, B Jutzi
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015
1212015
Reconstruction and Analysis of 3D Scenes: From Irregularly Distributed 3D Points to Object Classes
M Weinmann
Springer, 2016
1162016
Fast and automatic image-based registration of TLS data
M Weinmann, M Weinmann, S Hinz, B Jutzi
ISPRS Journal of Photogrammetry and Remote Sensing 66 (6), S62-S70, 2011
1152011
A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds
L Landrieu, H Raguet, B Vallet, C Mallet, M Weinmann
ISPRS Journal of Photogrammetry and Remote Sensing 132, 102-118, 2017
1142017
Shape distribution features for point cloud analysis - A geometric histogram approach on multiple scales
R Blomley, M Weinmann, J Leitloff, B Jutzi
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014
1032014
A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas
M Weinmann, M Weinmann, C Mallet, M Brédif
Remote Sensing 9 (3), 277:1-277:28, 2017
1002017
Geometric features and their relevance for 3D point cloud classification
M Weinmann, B Jutzi, C Mallet, M Weinmann
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017
822017
Analytical and numerical investigations on the accuracy and robustness of geometric features extracted from 3D point cloud data
A Dittrich, M Weinmann, S Hinz
ISPRS Journal of Photogrammetry and Remote Sensing 126, 195-208, 2017
532017
Classification of airborne laser scanning data using geometric multi-scale features and different neighbourhood types
R Blomley, B Jutzi, M Weinmann
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016
432016
Thermal 3D mapping for object detection in dynamic scenes
M Weinmann, J Leitloff, L Hoegner, B Jutzi, U Stilla, S Hinz
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014
432014
Tree species classification using within crown localization of waveform LiDAR attributes
R Blomley, A Hovi, M Weinmann, S Hinz, I Korpela, B Jutzi
ISPRS Journal of Photogrammetry and Remote Sensing 133, 142-156, 2017
382017
Finding a good feature detector-descriptor combination for the 2D keypoint-based registration of TLS point clouds
S Urban, M Weinmann
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015
382015
Visual Features—From Early Concepts to Modern Computer Vision
M Weinmann
Advanced Topics in Computer Vision, 1-34, 2013
382013
Marker-based localization of the Microsoft HoloLens in building models
P Hübner, M Weinmann, S Wursthorn
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018
362018
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