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Jenny Mack
Jenny Mack
Department of Computer Science IV, University of Bonn
Bestätigte E-Mail-Adresse bei cs.uni-bonn.de
Titel
Zitiert von
Zitiert von
Jahr
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
932015
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
572018
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
512017
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
182019
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
142018
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
102020
Ligand affinity prediction with multi-pattern kernels
K Ullrich, J Mack, P Welke
Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016
102016
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
62018
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
52017
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
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