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In this paper, we present an accurate yet effective solution for 6D pose estimation from an RGB image.
A 3-dimensional sift descriptor and its application to action recognition
P. Scovanner, S. Ali, and M. Shah · 2007
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Epnp: An accurate o(n) solution to the pnp problem
V. Lepetit, F. Moreno-Noguer, and P. Fua · 2008
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Model globally, match locally: Efficient and robust 3d object recognition
B. Drost, M. Ulrich, N. Navab, and S. Ilic · 2010
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Unique signatures of histograms for local surface description
F. Tombari, S. Salti, and L. Di Stefano · 2010
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Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes
S. Hinterstoisser, V. Lepetit, S. Ilic, S. Holzer, G. Bradski, K. Konolige, and N. Navab · 2012
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Learning human pose estimation features with convolutional networks
A. Jain, J. Tompson, M. Andriluka, G. W. Taylor, and C. Bregler · 2013
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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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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Multi-source deep learning for human pose estimation
W. Ouyang, X. Chu, and X. Wang · 2014
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Latent-class hough forests for 3d object detection and pose estimation
A. Tejani, D. Tang, R. Kouskouridas, and T.-K. Kim · 2014
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Joint training of a convolutional network and a graphical model for human pose estimation
J. J. Tompson, A. Jain, Y. LeCun, and C. Bregler · 2014
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
Cited alongside, same era.
Posenet: A convolutional network for real-time 6-dof camera relocalization
A. Kendall, M. K. Grimes, and R. Cipolla · 2015
Cited alongside, same era.
Viewpoints and keypoints
S. Tulsiani and J. Malik · 2015
Cited alongside, same era.
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
Cited alongside, same era.
Recovering 6d object pose and predicting next-best-view in the crowd
A. Doumanoglou, R. Kouskouridas, S. Malassiotis, and T. Kim · 2016
Cited alongside, same era.
Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh · 2017
Later among the works it cites.
RMPE: Regional multi-person pose estimation
H.-S. Fang, S. Xie, Y.-W. Tai, and C. Lu · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. B. Girshick · 2017
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Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again
W. Kehl, F. Manhardt, F. Tombari, S. Ilic, and N. Navab · 2017
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3d bounding box estimation using deep learning and geometry
A. Mousavian, D. Anguelov, J. Flynn, and J. Kosecka · 2017
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6-dof object pose from semantic keypoints
G. Pavlakos, X. Zhou, A. Chan, K. G. Derpanis, and K. Daniilidis · 2017
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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
Cited alongside, same era.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Cited alongside, same era.
Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
Cited alongside, same era.
Fast single shot detection and pose estimation
P. Poirson, P. Ammirato, C.-Y. Fu, W. Liu, J. Kosecka, and A. C. Berg · 2016
Cited alongside, same era.
Convolutional pose machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
Cited alongside, same era.
Lift: Learned invariant feature transform
K. M. Yi, E. Trulls, V. Lepetit, and P. Fua · 2016
Cited alongside, same era.
Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth
M. Rad and V. Lepetit · 2017
Later among the works it cites.
Yolov3: An incremental improvement
J. Redmon and A. Farhadi · 2018
Closest in time.
Implicit 3d orientation learning for 6d object detection from rgb images
M. Sundermeyer, Z.-C. Marton, M. Durner, M. Brucker, and R. Triebel · 2018
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Real-Time Seamless Single Shot 6D Object Pose Prediction
B. Tekin, S. N. Sinha, and P. Fua · 2018
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Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Y. Xiang, T. Schmidt, V. Narayanan, and D. Fox · 2018
Closest in time.