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 | 1275 | 2010 |
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 | 489 | 2018 |
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 | 278 | 2020 |
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 | 167 | 2017 |
3d object detection and localization using multimodal point pair features B Drost, S Ilic 2012 Second International Conference on 3D Imaging, Modeling, Processing …, 2012 | 117 | 2012 |
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 | 68 | 2023 |
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 | 44 | 2018 |
Recognition and pose determination of 3D objects in 3D scenes BH Drost, M Ulrich US Patent 8,830,229, 2014 | 39 | 2014 |
A hybrid approach for 6dof pose estimation R König, B Drost European Conference on Computer Vision, 700-706, 2020 | 33 | 2020 |
Local hough transform for 3d primitive detection B Drost, S Ilic 2015 International Conference on 3D Vision, 398-406, 2015 | 30 | 2015 |
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 | 26 | 2024 |
Recognition and pose determination of 3D objects in multimodal scenes B Drost, M Ulrich US Patent 8,994,723, 2015 | 22 | 2015 |
Almost constant-time 3D nearest-neighbor lookup using implicit octrees BH Drost, S Ilic Machine Vision and Applications 29 (2), 299-311, 2018 | 20 | 2018 |
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 | 13 | 2018 |
A hierarchical voxel hash for fast 3d nearest neighbor lookup B Drost, S Ilic German Conference on Pattern Recognition, 302-312, 2013 | 11 | 2013 |
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 | 6 | 2018 |
Graph-based deformable 3d object matching B Drost, S Ilic Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015 | 4 | 2015 |
Point cloud computing for rigid and deformable 3D object recognition BH Drost Technische Universität München, 2016 | 3 | 2016 |
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 | 2 | 2011 |
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 | 1 | 2019 |