N. Atanasov, B. Sankaran, J. L. Ny, G. J. Pappas, and K. Daniilidis, Nonmyopic View Planning for Active Object Classification and Pose Estimation, IEEE Transactions on Robotics, vol.30, issue.5, pp.1078-1090, 2014.
DOI : 10.1109/TRO.2014.2320795

I. Becerra, L. M. Valentn-coronado, R. Murrieta-cid, and J. Latombe, Reliable confirmation of an object identity by a mobile robot: A mixed appearance/localization-driven motion approach, The International Journal of Robotics Research, vol.35, issue.10, 2016.
DOI : 10.1109/MRA.2006.1598054

Y. Guo, F. Sohel, M. Bennamoun, M. Lu, and J. Wan, Rotational Projection Statistics for 3D Local Surface Description and Object Recognition, International Journal of Computer Vision, vol.100, issue.8, pp.63-86, 2013.
DOI : 10.1007/s11263-012-0528-5
URL : http://researchrepository.murdoch.edu.au/id/eprint/28367/1/rotational_projection.pdf

. Yeung, RGB-D to CAD Retrieval with ObjectNN Dataset, Eurographics Workshop on 3D Object Retrieval, 2017.

F. Husain, H. Schulz, B. Dellen, C. Torras, and S. Behnke, Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes, IEEE Robotics and Automation Letters, vol.2, issue.1, pp.49-55, 2017.
DOI : 10.1109/LRA.2016.2532927

S. Kohlbrecher, J. Meyer, O. Stryk, and U. Klingauf, A flexible and scalable SLAM system with full 3D motion estimation, 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics, 2011.
DOI : 10.1109/SSRR.2011.6106777
URL : http://www.sim.informatik.tu-darmstadt.de/publ/download/2011_SSRR_KohlbrecherMeyerStrykKlingauf_Flexible_SLAM_System.pdf

L. Kunze, K. K. Doreswamy, and N. Hawes, Using Qualitative Spatial Relations for indirect object search, 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014.
DOI : 10.1109/ICRA.2014.6906604
URL : http://www.cs.bham.ac.uk/~nah/bibtex/papers/kunze2014icra.pdf

D. Meger, A. Gupta, and J. J. Little, Viewpoint detection models for sequential embodied object category recognition, 2010 IEEE International Conference on Robotics and Automation, 2010.
DOI : 10.1109/ROBOT.2010.5509703
URL : http://www.cs.ubc.ca/labs/lci/curious_george/pubs/ICRA10_1903_FI.pdf

D. Meger and J. J. Little, Mobile 3D object detection in clutter, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011.
DOI : 10.1109/IROS.2011.6095027
URL : http://www.cs.ubc.ca/labs/lci/curious_george/pubs/meger_iros2011_paper.pdf

P. Papadakis, The Canonically Posed 3D Objects Dataset, Eurographics Workshop on 3D Object Retrieval, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00975099

T. Patten, M. Zillich, R. Fitch, M. Vincze, and S. Sukkarieh, Viewpoint Evaluation for Online 3-D Active Object Classification, IEEE Robotics and Automation Letters, vol.1, issue.1, pp.73-81, 2016.
DOI : 10.1109/LRA.2015.2506901
URL : https://opus.lib.uts.edu.au/bitstream/10453/89769/4/11648AF0-D43D-42A9-AEEB-D0186C195012%20am.pdf

C. Potthast, A. Breitenmoser, F. Sha, and G. S. Sukhatme, Active multi-view object recognition: A unifying view on online feature selection and view planning, Robotics and Autonomous Systems, vol.84, pp.31-47, 2016.
DOI : 10.1016/j.robot.2016.06.013

R. Rusu, G. Bradski, R. Thibaux, and J. Hsu, Fast 3D recognition and pose using the Viewpoint Feature Histogram, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010.
DOI : 10.1109/IROS.2010.5651280

R. B. Rusu and S. Cousins, 3D is here: Point Cloud Library (PCL), 2011 IEEE International Conference on Robotics and Automation, 2011.
DOI : 10.1109/ICRA.2011.5980567
URL : http://www.pointclouds.org/assets/pdf/pcl_icra2011.pdf

K. Sfikas, T. Theoharis, and I. Pratikakis, Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval, Eurographics Workshop on 3D Object Retrieval, 2017.

H. Su, S. Maji, E. Kalogerakis, and E. G. , Learned-Miller. Multi-view convolutional neural networks for 3d shape recognition, Int. Conf. on Computer Vision, 2015.

]. A. Viterbi, Error bounds for convolutional codes and an asymptotically optimum decoding algorithm, IEEE Transactions on Information Theory, vol.13, issue.2, pp.260-269, 1967.
DOI : 10.1109/TIT.1967.1054010

W. Wohlkinger and M. Vincze, Ensemble of shape functions for 3D object classification, 2011 IEEE International Conference on Robotics and Biomimetics, 2011.
DOI : 10.1109/ROBIO.2011.6181760

Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang et al., 3d shapenets: A deep representation for volumetric shapes, Conf. on Computer Vision and Pattern Recognition, 2015.

J. Xiao, J. Hays, K. A. Ehinger, A. Oliva, and A. Torralba, SUN database: Large-scale scene recognition from abbey to zoo, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3485-3492, 2010.
DOI : 10.1109/CVPR.2010.5539970
URL : http://cs.brown.edu/~hays/papers/sun.pdf