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 to true

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