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We introduce T-LESS, a new public dataset for estimating the 6D pose, i.e.
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Accuracy and resolution of Kinect depth data for indoor mapping applications
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3DNet: Large-scale object class recognition from CAD models
W. Wohlkinger, A. Aldoma, R. B. Rusu, and M. Vincze · 2012
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Support surface prediction in indoor scenes
R. Guo and D. Hoiem · 2013
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A category-level 3D object dataset: Putting the Kinect to work
A. Janoch, S. Karayev, Y. Jia, J. T. Barron, M. Fritz, K. Saenko, and T. Darrell · 2013
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Parsing IKEA Objects: Fine Pose Estimation
J. J. Lim, H. Pirsiavash, and A. Torralba · 2013
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Model-based pose estimation for rigid objects
M. Lourakis and X. Zabulis · 2013
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Efficient texture-less object detection for augmented reality guidance
T. Hodaň, D. Damen, W. Mayol-Cuevas, and J. Matas · 2015
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Detection and fine 3D pose estimation of texture-less objects in RGB-D images
T. Hodaň, X. Zabulis, M. Lourakis, Š. Obdržálek, and J. Matas · 2015
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Pose estimation of kinematic chain instances via object coordinate regression
F. Michel, A. Krull, E. Brachmann, M. Y. Yang, S. Gumhold, and C. Rother · 2015
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Sun RGB-D: A RGB-D scene understanding benchmark suite
S. Song, S. P. Lichtenberg, and J. Xiao · 2015
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Learning descriptors for object recognition and 3D pose estimation
P. Wohlhart and V. Lepetit · 2015
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Discriminatively trained templates for 3D object detection: A real time scalable approach
R. Rios-Cabrera and T. Tuytelaars · 2013
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BOLD features to detect texture-less objects
F. Tombari, A. Franchi, and L. Di Stefano · 2013
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Multimodal blending for high-accuracy instance recognition
Z. Xie, A. Singh, J. Uang, K. S. Narayan, and P. Abbeel · 2013
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Automation of “ground truth” annotation for multi-view RGB-D object instance recognition datasets
A. Aldoma, T. Fäulhammer, and M. Vincze · 2014
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Robust instance recognition in presence of occlusion and clutter
U. Bonde, V. Badrinarayanan, and R. Cipolla · 2014
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Learning 6D object pose estimation using 3D object coordinates
E. Brachmann, A. Krull, F. Michel, S. Gumhold, J. Shotton, and C. Rother · 2014
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X. Zabulis, M. Lourakis, and P. Koutlemanis · 2015
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Uncertainty-driven 6D pose estimation of objects and scenes from a single RGB image
E. Brachmann, F. Michel, A. Krull, M. Y. Yang, S. Gumhold, and C. Rother · 2016
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Lessons from the Amazon picking challenge
N. Correll, K. E. Bekris, D. Berenson, O. Brock, A. Causo, K. Hauser, K. Okada, A. Rodriguez, J. M. Romano, and P. R. Wurman · 2016
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Recovering 6D object pose and predicting next-best-view in the crowd
A. Doumanoglou, R. Kouskouridas, S. Malassiotis, and T.-K. Kim · 2016
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RGBD datasets: Past, present and future
M. Firman · 2016
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Multiview RGB-D dataset for object instance detection
G. Georgakis, M. A. Reza, A. Mousavian, P.-H. Le, and J. Kosecka · 2016
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A comprehensive performance evaluation of 3D local feature descriptors
Y. Guo, M. Bennamoun, F. Sohel, M. Lu, J. Wan, and N. M. Kwok · 2016
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Going further with point pair features
S. Hinterstoisser, V. Lepetit, N. Rajkumar, and K. Konolige · 2016
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On evaluation of 6D object pose estimation
T. Hodaň, J. Matas, and Š. Obdržálek · 2016
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Deep learning of local RGB-D patches for 3D object detection and 6D pose estimation
W. Kehl, F. Milletari, F. Tombari, S. Ilic, and N. Navab · 2016
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Fast 6D pose estimation for texture-less objects from a single RGB image
E. Muñoz, Y. Konishi, V. Murino, and A. D. Bue · 2016
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A dataset for improved RGBD-based object detection and pose estimation for warehouse pick-and-place
C. Rennie, R. Shome, K. E. Bekris, and A. F. D. Souza · 2016
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UoB highly occluded object challenge II, 2016
K. Walas and A. Leonardis · 2016
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ObjectNet3D: A large scale database for 3D object recognition
Y. Xiang et al · 2016
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