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
6312010
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
902018
3d object detection and localization using multimodal point pair features
B Drost, S Ilic
2012 Second International Conference on 3D Imaging, Modeling, Processing …, 2012
662012
Recognition and pose determination of 3D objects in 3D scenes
BH Drost, M Ulrich
US Patent 8,830,229, 2014
232014
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
172017
Recognition and pose determination of 3D objects in multimodal scenes
B Drost, M Ulrich
US Patent 8,994,723, 2015
172015
Local hough transform for 3d primitive detection
B Drost, S Ilic
2015 International Conference on 3D Vision, 398-406, 2015
162015
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
142018
A hierarchical voxel hash for fast 3d nearest neighbor lookup
B Drost, S Ilic
German Conference on Pattern Recognition, 302-312, 2013
92013
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), 0-0, 2018
72018
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
42018
Almost constant-time 3D nearest-neighbor lookup using implicit octrees
BH Drost, S Ilic
Machine Vision and Applications 29 (2), 299-311, 2018
42018
Graph-based deformable 3d object matching
B Drost, S Ilic
German Conference on Pattern Recognition, 222-233, 2015
32015
Point cloud computing for rigid and deformable 3D object recognition
BH Drost
Technische Universität München, 2016
22016
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 Patent 2,385,483, 2012
2012
Results of the BOP Challenge 2019
T Hodaň, E Brachmann, B Drost, F Michel, M Sundermeyer, J Matas, ...
BOP Challenge 2019
T Hodaň, E Brachmann, B Drost, F Michel, M Sundermeyer, J Matas, ...
Jean-Sebastien Franco, INRIA, France Takuya Funatomi, Nara Institute of Science and Technology, Japan Yasutaka Furukawa, Simon Fraser University, Canada Mathias Gallardo …
H Ackermann, C Albl, T Alldieck, I Alzugaray, S Aroudj, F Arrigoni, ...
Austin Abrams, Google Hanno Ackermann, Leibniz University Hannover Lourdes Agapito, University College London Andrea Albarelli, Universita Ca'Foscari di Venezia
H Araujo, C Arora, S Avidan, Y Bao, K Barnard, JC Bazin, K Berger, ...
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