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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}  
}