A fast histogram-based similarity measure for detecting loop closures in 3-d lidar data T Röhling, J Mack, D Schulz 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015 | 99 | 2015 |
High-precision phenotyping of grape bunch architecture using fast 3D sensor and automation F Rist, K Herzog, J Mack, R Richter, V Steinhage, R Töpfer Sensors 18 (3), 763, 2018 | 59 | 2018 |
High-precision 3D detection and reconstruction of grapes from laser range data for efficient phenotyping based on supervised learning J Mack, C Lenz, J Teutrine, V Steinhage Computers and Electronics in Agriculture 135, 300-311, 2017 | 51 | 2017 |
Combination of an automated 3D field phenotyping workflow and predictive modelling for high-throughput and non-invasive phenotyping of grape bunches F Rist, D Gabriel, J Mack, V Steinhage, R Töpfer, K Herzog Remote Sensing 11 (24), 2953, 2019 | 17 | 2019 |
Semantic labeling and reconstruction of grape bunches from 3D range data using a new RGB-D feature descriptor J Mack, F Schindler, F Rist, K Herzog, R Töpfer, V Steinhage Computers and Electronics in Agriculture 155, 96-102, 2018 | 15 | 2018 |
Constraint-based automated reconstruction of grape bunches from 3D range data for high-throughput phenotyping J Mack, F Rist, K Herzog, R Töpfer, V Steinhage Biosystems Engineering 197, 285-305, 2020 | 10 | 2020 |
Ligand affinity prediction with multi-pattern kernels K Ullrich, J Mack, P Welke Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016 | 10 | 2016 |
Multi-view semantic labeling of 3D point clouds for automated plant phenotyping B Japes, J Mack, F Rist, K Herzog, R Töpfer, V Steinhage arXiv preprint arXiv:1805.03994, 2018 | 6 | 2018 |
Experimental evaluation of the performance of local shape descriptors for the classification of 3D data in precision farming J Mack, A Trakowski, F Rist, K Herzog, R Töpfer, V Steinhage Journal of Computer and Communications 5 (12), 1-12, 2017 | 5 | 2017 |
A fast histogram-based similarity measure for detecting loop closures in 3-d lidar data. In 2015 IEEE T Röhling, J Mack, D Schulz RSJ International Conference on Intelligent Robots and Systems (IROS), 736-741, 0 | 4 | |