Anders Glent Buch
Anders Glent Buch
Verified email at mmmi.sdu.dk - Homepage
TitleCited byYear
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
772013
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
542018
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
432010
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
302014
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
282017
Local shape feature fusion for improved matching, pose estimation and 3D object recognition
AG Buch, HG Petersen, N Krüger
SpringerPlus 5 (1), 297, 2016
282016
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
252017
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, 2014
242014
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
232016
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 (4), 305-313, 2014
142014
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
132014
Extended 3d line segments from rgb-d data for pose estimation
AG Buch, JB Jessen, D Kraft, TR Savarimuthu, N Krüger
Scandinavian Conference on Image Analysis, 54-65, 2013
122013
Multi-view object instance recognition in an industrial context
W Mustafa, N Pugeault, AG Buch, N Krüger
Robotica 35 (2), 271-292, 2017
72017
Geometric Edge Description and Classification in Point Cloud Data with Application to 3D Object Recognition.
TB Jørgensen, AG Buch, D Kraft
VISAPP (1), 333-340, 2015
72015
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
62017
A new benchmark for pose estimation with ground truth from virtual reality
C Schlette, AG Buch, EE Aksoy, T Steil, J Papon, TR Savarimuthu, ...
Production Engineering 8 (6), 745-754, 2014
62014
Fast programming of peg-in-hole actions by human demonstration
Y Yang, LL Lin, YT Song, B Nemec, A Ude, AG Buch, N Krüger, ...
2014 International Conference on Mechatronics and Control (ICMC), 990-995, 2014
62014
Local Point Pair Feature Histogram for Accurate 3D Matching.
AG Buch, D Kraft, S Robotics, D Odense
BMVC, 143, 2018
52018
Compensating pose uncertainties through appropriate gripper finger cutouts
A Wolniakowski, A Gams, L Kiforenko, A Kramberger, D Chrysostomou, ...
acta mechanica et automatica 12 (1), 78-83, 2018
52018
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
52018
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Articles 1–20