A dual-source approach for 3D pose estimation from a single image

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2016-December, Issue , 2016, Pages 4948-4956

  Yasin, Hashim ^a   Iqbal, Umar ^a   Kruger, Bjorn ^b   Weber, Andreas ^a   Gall, Juergen ^a  

^a UNIVERSITY OF BONN   (Germany)

^b Gokhale Method Institute   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

3D MOTION CAPTURE; 3D POSE ESTIMATION; LARGE AMOUNTS; POSE ESTIMATION; SINGLE IMAGES; SKELETON STRUCTURE; STATE OF THE ART; TRAINING DATA;

PATTERN RECOGNITION;

EID: 84986277851     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.535     Document Type: Conference Paper

References (33)

1. A. Agarwal and B. Triggs. 3d human pose from silhouettes by relevance vector regression. In CVPR, 2004.
2. A. Agarwal and B. Triggs. Recovering 3d human pose from monocular images. TPAMI, 2006.
3. M. Andriluka, S. Roth, and B. Schiele. Monocular 3d pose estimation and tracking by detection. In CVPR, 2010.
4. A. Baak, M. Müller, G. Bharaj, H.-P. Seidel, and C. Theobalt. A data-driven approach for real-time full body pose reconstruction from a depth camera. In ICCV, 2011.
5. V. Belagiannis, S. Amin, M. Andriluka, B. Schiele, N. Navab, and S. Ilic. 3d pictorial structures for multiple human pose estimation. In CVPR, 2014.
6. L. Bo and C. Sminchisescu. Twin Gaussian processes for structured prediction. IJCV, 2010.
7. L. Bo, C. Sminchisescu, A. Kanaujia, and D. Metaxas. Fast algorithms for large scale conditional 3d prediction. In CVPR, 2008.
8. CMU. Carnegie mellon university graphics lab: Motion capture database, 2014. mocap.cs.cmu.edu.
9. M. Dantone, C. Leistner, J. Gall, and L. Van Gool. Body parts dependent joint regressors for human pose estimation in still images. TPAMI, 2014.
10. C. Desai and D. Ramanan. Detecting actions, poses, and objects with relational phraselets. In ECCV, 2012.
11. D. Grest, J. Woetzel, and R. Koch. Nonlinear body pose estimation from depth images. In DAGM, 2005.
12. C. Ionescu, J. Carreira, and C. Sminchisescu. Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation. In CVPR, 2014.
13. C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu. Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments. TPAMI, 2014.
14. I. Kostrikov and J. Gall. Depth sweep regression forests for estimating 3d human pose from images. In BMVC, 2014.
15. B. Krüger, J. Tautges, A.Weber, and A. Zinke. Fast local and global similarity searches in large motion capture databases. In ACM SIGGRAPH Symposium on Computer Animation, 2010.
16. S. Li and A. B. Chan. 3d human pose estimation from monocular images with deep convolutional neural network. In ACCV, 2014.
17. S. Li, W. Zhang, and A. Chan. Maximum-margin structured learning with deep networks for 3d human pose estimation. In ICCV, 2015.
18. G. Mori and J. Malik. Recovering 3d human body configurations using shape contexts. TPAMI, 2006.
19. G. Pons-Moll, D. J. Fleet, and B. Rosenhahn. Posebits for monocular human pose estimation. In CVPR, 2014.
20. I. Radwan, A. Dhall, and R. Goecke. Monocular image 3d human pose estimation under self-occlusion. In ICCV, 2013.
21. V. Ramakrishna, T. Kanade, and Y. A. Sheikh. Reconstructing 3d human pose from 2d image landmarks. In ECCV, 2012.
22. J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake. Real-time human pose recognition in parts from single depth images. In CVPR, 2011.
23. L. Sigal, A. O. Balan, and M. J. Black. Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion. IJCV, 2010.
24. L. Sigal, M. Isard, H. Haussecker, and M. J. Black. Looselimbed people: Estimating 3d human pose and motion using non-parametric belief propagation. IJCV, 2012.
25. E. Simo-Serra, A. Quattoni, C. Torras, and F. Moreno-Noguer. A Joint Model for 2D and 3D Pose Estimation from a Single Image. In CVPR, 2013.
26. E. Simo-Serra, A. Ramisa, G. Alenyà, C. Torras, and F. Moreno-Noguer. Single Image 3D Human Pose Estimation from Noisy Observations. In CVPR, 2012.
27. C. Sminchisescu, A. Kanaujia, Z. Li, and D. N. Metaxas. Discriminative density propagation for 3d human motion estimation. In CVPR, 2005.
28. R. Urtasun, D. J. Fleet, and P. Fua. 3d people tracking with Gaussian process dynamical models. In CVPR, 2006.
29. C. Wang, Y. Wang, Z. Lin, A. L. Yuille, and W. Gao. Robust estimation of 3d human poses from a single image. In CVPR, 2014.
30. F.Wang and Y. Li. Beyond physical connections: Tree models in human pose estimation. In CVPR, 2013.
31. Y. Yang and D. Ramanan. Articulated pose estimation with flexible mixtures-of-parts. In CVPR, 2011.
32. A. Yao, J. Gall, and L. Van Gool. Coupled action recognition and pose estimation from multiple views. IJCV, 2012.
33. H. Yasin, B. Krüger, and A. Weber. Model based full body human motion reconstruction from video data. In MIRAGE, 2013.