6D Object Pose Estimation using 3D Object Coordinates [Data]https://doi.org/10.11588/data/V4MUMXBrachmann, EricheiDATA2020-09-072020-09-07T14:04:58ZSupplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth poses and segmentation as well as 3D models. Additionally, a collection of RGB-D images showing office backgrounds. We also provide additional pose annotations of the LINEMOD dataset (http://campar.in.tum.de/Main/StefanHinterstoisser), and Linux binaries to reproduce the results of our paper.
For more information, also see the project page:
https://hci.iwr.uni-heidelberg.de/vislearn/research/scene-understanding/pose-estimation/#ECCV14Computer and Information ScienceComputer VisionMachine Learning"Learning 6D Object Pose Estimation Using 3D Object Coordinates";
Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother; ECCV, 2014;, doi, 10.1007/978-3-319-10605-2_35, https://doi.org/10.1007/978-3-319-10605-2_352014-03-312020-08-28Licensed under a <a href='http://creativecommons.org/licenses/by/4.0/'>Creative Commons Attribution 4.0 International License.  <img src='https://i.creativecommons.org/l/by/4.0/80x15.png' alt='CC by' /></a>