Follow
Bertram Drost
Bertram Drost
Verified email at in.tum.de
Title
Cited by
Cited by
Year
Model globally, match locally: Efficient and robust 3D object recognition
B Drost, M Ulrich, N Navab, S Ilic
2010 IEEE computer society conference on computer vision and pattern …, 2010
12752010
Bop: Benchmark for 6d object pose estimation
T Hodan, F Michel, E Brachmann, W Kehl, A GlentBuch, D Kraft, B Drost, ...
Proceedings of the European conference on computer vision (ECCV), 19-34, 2018
4892018
BOP challenge 2020 on 6D object localization
T Hodaň, M Sundermeyer, B Drost, Y Labbé, E Brachmann, F Michel, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
2782020
Introducing mvtec itodd-a dataset for 3d object recognition in industry
B Drost, M Ulrich, P Bergmann, P Hartinger, C Steger
Proceedings of the IEEE international conference on computer vision …, 2017
1672017
3d object detection and localization using multimodal point pair features
B Drost, S Ilic
2012 Second International Conference on 3D Imaging, Modeling, Processing …, 2012
1172012
Bop challenge 2022 on detection, segmentation and pose estimation of specific rigid objects
M Sundermeyer, T Hodaň, Y Labbe, G Wang, E Brachmann, B Drost, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
682023
A performance evaluation of point pair features
L Kiforenko, B Drost, F Tombari, N Krüger, AG Buch
Computer Vision and Image Understanding 166, 66-80, 2018
442018
Recognition and pose determination of 3D objects in 3D scenes
BH Drost, M Ulrich
US Patent 8,830,229, 2014
392014
A hybrid approach for 6dof pose estimation
R König, B Drost
European Conference on Computer Vision, 700-706, 2020
332020
Local hough transform for 3d primitive detection
B Drost, S Ilic
2015 International Conference on 3D Vision, 398-406, 2015
302015
BOP Challenge 2023 on Detection Segmentation and Pose Estimation of Seen and Unseen Rigid Objects
T Hodan, M Sundermeyer, Y Labbe, VN Nguyen, G Wang, E Brachmann, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
262024
Recognition and pose determination of 3D objects in multimodal scenes
B Drost, M Ulrich
US Patent 8,994,723, 2015
222015
Almost constant-time 3D nearest-neighbor lookup using implicit octrees
BH Drost, S Ilic
Machine Vision and Applications 29 (2), 299-311, 2018
202018
A Summary of the 4th International Workshop on~ Recovering 6D Object Pose
T Hodan, R Kouskouridas, TK Kim, F Tombari, K Bekris, B Drost, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
132018
A hierarchical voxel hash for fast 3d nearest neighbor lookup
B Drost, S Ilic
German Conference on Pattern Recognition, 302-312, 2013
112013
Acquire, augment, segment and enjoy: Weakly supervised instance segmentation of supermarket products
P Follmann, B Drost, T Böttger
German Conference on Pattern Recognition, 363-376, 2018
62018
Graph-based deformable 3d object matching
B Drost, S Ilic
Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015
42015
Point cloud computing for rigid and deformable 3D object recognition
BH Drost
Technische Universität München, 2016
32016
Recognition and pose determination of 3D objects in 3D scenes using geometric point pair descriptors and the generalized Hough Transform
BH Drost, M Ulrich
EP, 2011
22011
Results of the bop challenge 2019
T Hodaň, E Brachmann, B Drost, F Michel, M Sundermeyer, J Matas, ...
5th International Workshop on Recovering 6D Object Pose, ICCV 2019, 2019
12019
The system can't perform the operation now. Try again later.
Articles 1–20