If you use V4R in your work, please cite the appropriate moduls:
RTM toolbox¶
Prankl et al., RGB-D Object Modelling for Object Recognition and Tracking. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015
@inproceedings{prankl2015rgb, title={RGB-D object modelling for object recognition and tracking}, author={Prankl, Johann and Aldoma, Aitor and Svejda, Alexander and Vincze, Markus}, booktitle={Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on}, pages={96--103}, year={2015}, organization={IEEE} }
Object Instance Recognition¶
Thomas Fäulhammer, Michael Zillich, Johann Prankl, Markus Vincze, “A Multi-Modal RGB-D Object Recognizer”, IAPR Internation Conference on Pattern Recognition (ICPR), 2016,
@incproceedings{faeulhammer2016_ICPR,
title={A Multi-Modal RGB-D Object Recognizer},
author={F{\"a}ulhammer, Thomas and Zillich, Michael and Prankl, Johann and Vincze, Markus},
booktitle={Pattern Recognition (ICPR), International Conference on},
year={2016},
organization={IAPR}
}
Multi-View Object Instance Recognition¶
- if parameter
transfer_feature_matches
is set totrue
Fäulhammer et al, “Temporal Integration of Feature Correspondences For Enhanced Recognition in Cluttered And Dynamic Environments”, IEEE Int. Conf. on Robotics and Automation (ICRA), 2015
@inproceedings{faeulhammer2015_featInt, title={Temporal Integration of Feature Correspondences For Enhanced Recognition in Cluttered And Dynamic Environments}, author={F{\"a}ulhammer, Thomas and Aldoma, Aitor and Zillich, Michael and Vincze, Markus}, booktitle={Proc.\ of the International Conference on Robotics and Automation (ICRA)}, year={2015}, organization={IEEE} }
- else (default)
Fäulhammer et al., “Multi-View Hypotheses Transfer for Enhanced Object Recognition in Clutter”, IAPR Conference on Machine Vision Applications (MVA), 2015
@inproceedings{faulhammer2015multi, title={Multi-View Hypotheses Transfer for Enhanced Object Recognition in Clutter}, author={F{\"a}ulhammer, Thomas and Zillich, Michael and Vincze, Markus}, booktitle={IAPR Conference on Machine Vision Applications (MVA)}, year={2015} }
Incremental object learning¶
Fäulhammer et al., “Autonomous Learning of Object Models on a Mobile Robot”, IEEE IEEE Robotics and Automation Letters, 2016
@ARTICLE{faeulhammer_object_learning_ral, author={Thomas F\"{a}ulhammer and Rare\cb{s} Ambru\cb{s} and Chris Burbridge and Michael Zillich and John Folkesson and Nick Hawes and Patric Jensfelt and Markus Vincze}, journal={IEEE Robotics and Automation Letters}, title={Autonomous Learning of Object Models on a Mobile Robot}, year={2016}, volume={2}, number={1}, pages={26-33}, keywords={ Autonomous Agents;RGB-D Perception;Object detection;segmentation;categorization;Visual Learning;Motion and Path Planning}, doi={10.1109/LRA.2016.2522086}, ISSN={2377-3766}, month={1} }
ESF Object Classification¶
Walter Wohlkinger and Markus Vincze, “Ensemble of Shape Functions for 3D Object Classification”, IEEE International Conference on Robotics and Biomimetics (IEEE-ROBIO), 2011
@inproceedings{wohlkinger2011ensemble,
title={Ensemble of shape functions for 3d object classification},
author={Wohlkinger, Walter and Vincze, Markus},
booktitle={Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on},
pages={2987--2992},
year={2011},
organization={IEEE}
}
Original page: https://github.com/strands-project/v4r/blob/master/CITATION.md