Jenny Mack
Jenny Mack
Department of Computer Science IV, University of Bonn
Verified email at cs.uni-bonn.de
Title
Cited by
Cited by
Year
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
332015
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
252018
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
252017
Ligand affinity prediction with multi-pattern kernels
K Ullrich, J Mack, P Welke
International Conference on Discovery Science, 474-489, 2016
72016
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
32018
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
22018
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
22017
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
12019
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
2020
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