The stitched puppet: A graphical model of 3D human shape and pose

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

Volumn 07-12-June-2015, Issue , 2015, Pages 3537-3546

  Zuffi, Silvia ^a,b   Black, Michael J ^a  

^a MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

^b CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GRAPHIC METHODS;

BELIEF PROPAGATION; COMPLEX BODIES; COMPUTATIONAL ADVANTAGES; DISTRIBUTED REPRESENTATION; GRAPHICAL MODEL; PART-BASED MODELS; PICTORIAL STRUCTURES; SHAPE VARIATIONS;

PATTERN RECOGNITION;

EID: 84959215411     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298976     Document Type: Conference Paper

References (41)

1. http://stitch. is. tue. mpg. de
2. http://faust. is. tue. mpg. de
3. B. Allen, B. Curless, and Z. Popovíc. Articulated body deformation from range scan data. ACM Trans. Graph., 21(3):612-619, July 2002
4. B. Allen, B. Curless, and Z. Popovíc. The space of human body shapes: Reconstruction and parameterization from range scans. ACM Trans. Graph., 22(3):587-594, July 2003
5. S. Amin, M. Andriluka, M. Rohrbach, and B. Schiele. Multiview pictorial structures for 3D human pose estimation. In Proc. Brit. Mach. Vis. Conf., BMVC, Sept. 2013
6. M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 1014-1021, June 2009
7. D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers, and J. Davis. SCAPE: Shape completion and animation of people. ACM Trans. Graph., 24(3):408-416, July 2005
8. V. Belagiannis, S. Amin, M. Andriluka, B. Schiele, N. Navab, and S. Ilic. 3D pictorial structures for multiple human pose estimation. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 1669-1679, June 2014
9. P. Besl and N. D. McKay. A method for registration of 3-d shapes. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 14(2):239-256, Feb 1992
10. F. Bogo, J. Romero, M. Loper, and M. J. Black. FAUST: Dataset and evaluation for 3D mesh registration. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 3794-3801, June 2014
11. C. Bregler and J. Malik. Tracking people with twists and exponential maps. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 8-15, Jun 1998
12. A. O. Balan, L. Sigal, M. J. Black, J. E. Davis, and H. W. Haussecker. Detailed human shape and pose from images. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 1-8, June 2007
13. M. Burenius, J. Sullivan, and S. Carlsson. 3d pictorial structures for multiple view articulated pose estimation. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 3618-3625, June 2013
14. Y. Chen, Z. Liu, and Z. Zhang. Tensor-based human body modeling. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 105-112, June 2013
15. S. Corazza, L. Mndermann, A. Chaudhari, T. Demattio, C. Cobelli, and T. Andriacchi. A markerless motion capture system to study musculoskeletal biomechanics: Visual hull and simulated annealing approach. Annals of Biomedi-cal Engineering, 34(6):1019-1029, 2006
16. J. Deutscher and I. Reid. Articulated body motion capture by stochastic search. Int. J. Comput. Vision, 61(2):185-205, Feb. 2005
17. P. F. Felzenszwalb and D. P. Huttenlocher. Pictorial structures for object recognition. International Journal of Com-puter Vision, 61(1):55-79, Jan. 2005
18. J. Gall, C. Stoll, E. De Aguiar, C. Theobalt, B. Rosenhahn, and H.-P. Seidel. Motion capture using joint skeleton tracking and surface estimation. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 1746-1753, June 2009
19. P. Guan, A. Weiss, A. Balan, and M. J. Black. Estimating human shape and pose from a single image. In Proc. IEEE Int. Conf. Comp. Vis., ICCV, pages 1381-1388, Oct. 2009
20. N. Hasler, C. Stoll, M. Sunkel, B. Rosenhahn, and H.-P. Seidel. A statistical model of human pose and body shape. Com-puter Graphics Forum, 28(2):337-346, Mar. 2009
21. V. G. Kim, Y. Lipman, and T. Funkhouser. Blended intrinsic maps. In ACM Transactions on Graphics (Proc. ACM SIG-GRAPH), SIGGRAPH '11, pages 79:1-79:12, New York, NY, USA, 2011. ACM
22. Y. Lipman and T. Funkhouser. Mobius voting for surface correspondence. In ACM Transactions on Graphics (Proc. ACM SIGGRAPH), SIGGRAPH '09, pages 72:1-72:12, New York, NY, USA, 2009. ACM
23. M. M. Loper, N. Mahmood, and M. J. Black. MoSh: Motion and shape capture from sparse markers. ACM Transactions on Graphics (Proc. ACM SIGGRAPH ASIA), 33(6):220:1-220:13, Nov. 2014
24. D. Marr and H. K. Nishihara. Representation and recognition of the spatial organization of three-dimensional shapes. Pro-ceedings of the Royal Society of London. Series B, Biological Sciences, 200(1140):pp. 269-294, 1978
25. K. Nevatia and T. O. Binford. Structured descriptions of complex objects. In Proceedings of the 3rd International Joint Conference on Artificial Intelligence, IJCAI'73, pages 641-647, San Francisco, CA, USA, 1973. Morgan Kaufmann Publishers Inc
26. J. Pacheco, S. Zuffi, M. J. Black, and E. Sudderth. Preserving modes and messages via diverse particle selection. In Pro-ceedings of the 31st International Conference on Machine Learning (ICML-14), volume 32(1), pages 1152-1160, Beijing, China, June 2014
27. A. Pentland and B. Horowitz. Recovery of nonrigid motion and structure. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 13(7):730-742, Jul 1991
28. F. Perbet, S. Johnson, M.-T. Pham, and B. Stenger. Human body shape estimation using a multi-resolution manifold forest. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 668-675, June 2014
29. R. Plänkers and P. Fua. Articulated soft objects for videobased body modeling. In Proc. IEEE Int. Conf. Comp. Vis., volume 1, pages 394-401, 2001
30. G. Pons-Moll, A. Baak, T. Helten, M. Müller, H.-P. Seidel, and B. Rosenhahn. Multisensor-fusion for 3d full-body human motion capture. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 663-670, June 2010
31. G. Pons-Moll and B. Rosenhahn. Model-Based Pose Estima-tion. Springer, June 2011
32. J. Rodgers, D. Anguelov, H.-C. Pang, and D. Koller. Object pose detection in range scan data. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR'06, pages 2445-2452, June 2006
33. H. Sidenbladh, M. J. Black,, and D. Fleet. Stochastic tracking of 3D human figures using 2D image motion. In Proc. IEEE Euro. Conf. Comp. Vis., volume 1843 of LNCS, pages 702-718, Dublin, Ireland, June 2000. Springer Verlag
34. L. Sigal, M. Isard, H. Haussecker, and M. J. Black. Looselimbed people: Estimating 3D human pose and motion using non-parametric belief propagation. International Journal of Computer Vision, 98:15-48, 2011
35. L. Sigal, M. I. Isard, B. H. Sigelman, and M. J. Black. Attractive people: Assembling loose-limbed models using nonparametric belief propagation. In Adv. Neur. Inf. Proc. Sys., NIPS, pages 1539-1546, Dec. 2003
36. C. Sminchisescu and A. Telea. Human Pose Estimation from Silhouettes. A Consistent Approach Using Distance Level Sets. In WSCG International Conference for Computer Graphics, Visualization and Computer Vision, Czech Republic, 2002
37. C. Stoll, N. Hasler, J. Gall, H.-P. Seidel, and C. Theobalt. Fast articulated motion tracking using a sums of gaussians body model. In Proc. IEEE Int. Conf. Comp. Vis., ICCV '11, pages 951-958, Washington, DC, USA, 2011. IEEE Computer Society
38. O. van Kaick, H. Zhang, G. Hamarneh, and D. Cohen-Or. A survey on shape correspondence. Computer Graphics Forum, 30(6):1681-1707, 2011
39. A. Weiss, D. Hirshberg, and M. Black. Home 3D body scans from noisy image and range data. In Proc. IEEE Int. Conf. Comp. Vis., ICCV, pages 1951-1958, Barcelona, Nov. 2011. IEEE
40. S. Wuhrer, P. Xi, and C. Shu. Human shape correspondence with automatically predicted landmarks. Machine Vision and Applications, 23(4):821-830, 2012
41. S. Zuffi, O. Freifeld, and M. J. Black. From pictorial structures to deformable structures. In Proc. IEEE Conf. Comp. Vis. Patt. Rec., CVPR, pages 3546-3553. IEEE, June 2012.