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Anders Glent Buch
Anders Glent Buch
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Year
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
4882018
Pose estimation using local structure-specific shape and appearance context
AG Buch, D Kraft, JK Kamarainen, HG Petersen, N Krüger
2013 IEEE international conference on robotics and automation, 2080-2087, 2013
1262013
Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings
RL Haugaard, AG Buch
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1122022
Teaching a robot the semantics of assembly tasks
TR Savarimuthu, AG Buch, C Schlette, N Wantia, J Roßmann, D Martínez, ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (5), 670-692, 2017
852017
Rotational subgroup voting and pose clustering for robust 3d object recognition
AG Buch, L Kiforenko, D Kraft
2017 IEEE International Conference on Computer Vision (ICCV), 4137-4145, 2017
802017
Solving peg-in-hole tasks by human demonstration and exception strategies
FJ Abu-Dakka, B Nemec, A Kramberger, AG Buch, N Krüger, A Ude
Industrial Robot: An International Journal 41 (6), 575-584, 2014
792014
In search of inliers: 3d correspondence by local and global voting
A Glent Buch, Y Yang, N Kruger, H Gordon Petersen
Proceedings of the IEEE Conference on computer vision and pattern …, 2014
702014
Refining grasp affordance models by experience
R Detry, D Kraft, AG Buch, N Krüger, J Piater
2010 IEEE International Conference on Robotics and Automation, 2287-2293, 2010
582010
Local shape feature fusion for improved matching, pose estimation and 3D object recognition
AG Buch, HG Petersen, N Krüger
SpringerPlus 5, 1-33, 2016
482016
Pointvotenet: Accurate object detection and 6 dof pose estimation in point clouds
F Hagelskjær, AG Buch
2020 IEEE International Conference on Image Processing (ICIP), 2641-2645, 2020
442020
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
A comparison of feature detectors and descriptors for object class matching
A Hietanen, J Lankinen, JK Kämäräinen, AG Buch, N Krüger
Neurocomputing 184, 3-12, 2016
432016
Prediction of ICP pose uncertainties using Monte Carlo simulation with synthetic depth images
AG Buch, D Kraft
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
332017
Peg-in-hole assembly under uncertain pose estimation
LL Lin, Y Yang, YT Song, B Nemec, A Ude, JA Rytz, AG Buch, N Krüger, ...
Proceeding of the 11th world congress on intelligent control and automation …, 2014
332014
Local Point Pair Feature Histogram for Accurate 3D Matching.
AG Buch, D Kraft, S Robotics, D Odense
BMVC, 143, 2018
322018
Technologies for the fast set-up of automated assembly processes
N Krüger, A Ude, HG Petersen, B Nemec, LP Ellekilde, TR Savarimuthu, ...
KI-Künstliche Intelligenz 28, 305-313, 2014
312014
Fast robust peg-in-hole insertion with continuous visual servoing
R Haugaard, J Langaa, C Sloth, A Buch
Conference on Robot Learning, 1696-1705, 2021
292021
Towards robot cell matrices for agile production–SDU Robotics' assembly cell at the WRC 2018
C Schlette, AG Buch, F Hagelskjær, I Iturrate, D Kraft, A Kramberger, ...
Advanced Robotics 34 (7-8), 422-438, 2020
192020
Using spatial constraints for fast set-up of precise pose estimation in an industrial setting
F Hagelskjær, TR Savarimuthu, N Krüger, AG Buch
2019 IEEE 15th International Conference on Automation Science and …, 2019
192019
A large-scale 3D object recognition dataset
T Sølund, AG Buch, N Krüger, H Aanæs
2016 Fourth International Conference on 3D Vision (3DV), 73-82, 2016
162016
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Articles 1–20