| Tutorial: Point cloud library: Three-dimensional object recognition and 6 dof pose estimation A Aldoma, ZC Marton, F Tombari, W Wohlkinger, C Potthast, B Zeisl, ... IEEE Robotics & Automation Magazine 19 (3), 80-91, 2012 | 548 | 2012 |
| CAD-model recognition and 6DOF pose estimation using 3D cues A Aldoma, M Vincze, N Blodow, D Gossow, S Gedikli, RB Rusu, G Bradski 2011 IEEE international conference on computer vision workshops (ICCV …, 2011 | 390 | 2011 |
| The strands project: Long-term autonomy in everyday environments N Hawes, C Burbridge, F Jovan, L Kunze, B Lacerda, L Mudrova, J Young, ... IEEE Robotics & Automation Magazine 24 (3), 146-156, 2017 | 263 | 2017 |
| A global hypotheses verification method for 3d object recognition A Aldoma, F Tombari, L Di Stefano, M Vincze Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 232 | 2012 |
| OUR-CVFH–oriented, unique and repeatable clustered viewpoint feature histogram for object recognition and 6DOF pose estimation A Aldoma, F Tombari, RB Rusu, M Vincze Pattern Recognition: Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria …, 2012 | 220 | 2012 |
| Multimodal cue integration through hypotheses verification for rgb-d object recognition and 6dof pose estimation A Aldoma, F Tombari, J Prankl, A Richtsfeld, L Di Stefano, M Vincze 2013 IEEE international conference on robotics and automation, 2104-2111, 2013 | 188 | 2013 |
| 3dnet: Large-scale object class recognition from cad models W Wohlkinger, A Aldoma, RB Rusu, M Vincze 2012 IEEE international conference on robotics and automation, 5384-5391, 2012 | 187 | 2012 |
| A global hypothesis verification framework for 3d object recognition in clutter A Aldoma, F Tombari, L Di Stefano, M Vincze IEEE transactions on pattern analysis and machine intelligence 38 (7), 1383-1396, 2015 | 64 | 2015 |
| RGB-D object modelling for object recognition and tracking J Prankl, A Aldoma, A Svejda, M Vincze 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015 | 55 | 2015 |
| Supervised learning of hidden and non-hidden 0-order affordances and detection in real scenes A Aldoma, F Tombari, M Vincze 2012 IEEE international conference on robotics and automation, 1732-1739, 2012 | 49 | 2012 |
| Automation of “ground truth” annotation for multi-view RGB-D object instance recognition datasets A Aldoma, T Fäulhammer, M Vincze 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 45 | 2014 |
| Task-based grasp adaptation on a humanoid robot J Bohg, K Welke, B León, M Do, D Song, W Wohlkinger, M Madry, ... IFAC Proceedings Volumes 45 (22), 779-786, 2012 | 31 | 2012 |
| Temporal integration of feature correspondences for enhanced recognition in cluttered and dynamic environments T Fäulhammer, A Aldoma, M Zillich, M Vincze 2015 IEEE International Conference on robotics and automation (ICRA), 3003-3009, 2015 | 17 | 2015 |
| Pose alignment for 3d models and single view stereo point clouds based on stable planes A Aldoma, M Vincze 2011 International Conference on 3D Imaging, Modeling, Processing …, 2011 | 8 | 2011 |
| Temporal Ensemble of Shape Functions. K Brkic, A Aldomà, M Vincze, S Segvic, Z Kalafatic 3DOR@ Eurographics, 53-60, 2014 | 3 | 2014 |
| 3d face detection and pose estimation in pcl A Aldoma Mach Learn 45 (1), 5-32, 2012 | 3 | 2012 |
| Object Modelling with a Handheld RGB-D Camera A Aldoma, J Prankl, A Svejda, M Vincze arXiv preprint arXiv:1505.05643, 2015 | 2 | 2015 |
| Segmentation of Depth Data in Piece-wise Smooth Parametric Surfaces A Aldoma, T Moerwald, J Prankl, M Vincze 20th Computer Vision Winter Workshop, 2015 | 2 | 2015 |
| Situiertes Sehen für bessere Erkennung von Objekten und Objektklassen M Vincze, W Wohlkinger, A Aldoma, S Olufs, P Einramhof, K Zhou, ... e & i Elektrotechnik und Informationstechnik 1 (129), 42-52, 2012 | 2 | 2012 |
| Localizing and segmenting objects with 3D objectness A Aldoma, M Vincze, F Tombari, W Kropatsch Proc. the 18th Computer Vision Winter Workshop (CVWW 2013), 2013 | 1 | 2013 |
Federico TombariGoogle, TU MunichBestätigte E-Mail-Adresse bei in.tum.de