Real-time hand tracking using a sum of anisotropic gaussians model

Proceedings - 2014 International Conference on 3D Vision, 3DV 2014

Volumn , Issue , 2015, Pages 319-326

  Sridhar, Srinath ^a   Rhodin, Helge ^a   Seidel, Hans Peter ^a   Oulasvirta, Antti ^b   Theobalt, Christian ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPY; DEGREES OF FREEDOM (MECHANICS); HUMAN COMPUTER INTERACTION;

ACCURATE TRACKING; BASELINE METHODS; NEW APPROACHES; PERSPECTIVE PROJECTIONS; SELF-OCCLUSIONS; SHAPE REPRESENTATION; SKELETON MOTION; TRACKING METHOD;

PALMPRINT RECOGNITION;

EID: 84925310640     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/3DV.2014.37     Document Type: Conference Paper

References (30)

1. V. Athitsos and S. Sclaroff. Estimating 3d hand pose from a cluttered image. In Proc. of IEEE CVPR 2003, pages 432-9 vol.2.
2. A. Baak, M. Muller, G. Bharaj, H.-P. Seidel, and C. Theobalt. A data-driven approach for real-time full body pose reconstruction from a depth camera. In Proc. of ICCV 2011, pages 1092-1099.
3. L. Ballan, A. Taneja, J. Gall, L. Van Gool, and M. Pollefeys. Motion capture of hands in action using discriminative salient points. In Proc. of ECCV 2012, pages 640-653 v.7577.
4. D. Eberly. Perspective projection of an ellipsoid. http://www.geometrictools.com/, 1999.
5. A. Erol, G. Bebis, M. Nicolescu, R. D. Boyle, and X. Twombly. Vision-based hand pose estimation: A review. Computer Vision and Image Understanding, pages 52-73 v.108, 2007.
6. H. Hamer, J. Gall, T. Weise, and L. Van Gool. An objectdependent hand pose prior from sparse training data. In Proc. of CVPR 2010, pages 671-678.
7. H. Hamer, K. Schindler, E. Koller-Meier, and L. Van Gool. Tracking a hand manipulating an object. In Proc. of ICCV 2009, pages 1475-1482.
8. C. Keskin, F. Kra, Y. E. Kara, and L. Akarun. Hand pose estimation and hand shape classification using multi-layered randomized decision forests. In Proc. of ECCV 2012, pages 852-863.
9. J. Krivic and F. Solina. Contour based superquadric tracking. Lecture Notes in Computer Science, pages 1180-1186. 2003.
10. J. Lin, Y. Wu, and T. Huang. Modeling the constraints of human hand motion. In Workshop on Human Motion, 2000. Proceedings, pages 121-126.
11. J. MacCormick and M. Isard. Partitioned sampling, articulated objects, and interface-quality hand tracking. In Proc. of ECCV 2000, pages 3-19.
12. I. Oikonomidis, N. Kyriazis, and A. Argyros. Efficient model-based 3d tracking of hand articulations using kinect. In Proc. of BMVC 2011, pages 101.1-101.11.
13. I. Oikonomidis, N. Kyriazis, and A. Argyros. Full DOF tracking of a hand interacting with an object by modeling occlusions and physical constraints. In Proc. of ICCV 2011, pages 2088-2095.
14. C. Qian, X. Sun, Y. Wei, X. Tang, and J. Sun. Realtime and robust hand tracking from depth. In Proc. of CVPR 2014.
15. J. Rehg and T. Kanade. Visual tracking of high DOF articulated structures: An application to human hand tracking. In Proc. of ECCV 1994, volume 801, pages 35-46 v.801.
16. J. Romero, H. Kjellstrom, and D. Kragic. Hands in action: real-time 3d reconstruction of hands in interaction with objects. In Proc. of IEEE ICRA 2010, pages 458-463.
17. R. Rosales and S. Sclaroff. Combining generative and discriminative models in a framework for articulated pose estimation. International Journal of Computer Vision, pages 251-276 v.67, 2006.
18. 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 Proc. of CVPR 2011, pages 1297-1304.
19. S. Sridhar, A. Oulasvirta, and C. Theobalt. Interactive markerless articulated hand motion tracking using RGB and depth data. In Proc. of ICCV 2013.
20. B. Stenger, A. Thayananthan, P. H. S. Torr, and R. Cipolla. Model-based hand tracking using a hierarchical bayesian filter. IEEE TPAMI, 28:1372-1384, 2006.
21. C. Stoll, N. Hasler, J. Gall, H. Seidel, and C. Theobalt. Fast articulated motion tracking using a sums of gaussians body model. In Proc. of ICCV 2011, pages 951-958.
22. D. Tang, H. J. Chang, A. Tejani, and T.-K. Kim. Latent regression forest: Structured estimation of 3d articulated hand posture. In Proc. of CVPR 2014.
23. D. Tang, T.-H. Yu, and T.-K. Kim. Real-time articulated hand pose estimation using semi-supervised transductive regression forests. In Proc. of ICCV 2013.
24. R. Wang, S. Paris, and J. Popović. 6d hands: markerless hand-tracking for computer aided design. In Proc. of ACM UIST 2011, pages 549-558.
25. R. Y. Wang and J. Popović. Real-time hand-tracking with a color glove. ACM TOG, page 631-638 v.28, 2009.
26. X. Wei, P. Zhang, and J. Chai. Accurate realtime full-body motion capture using a single depth camera. ACM TOG, pages 188:1-188:12 v.31, 2012.
27. H. Wendland. Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree. Adv Comput Math, 4(1):389-396, 1995.
28. Y. Wu, J. Lin, and T. Huang. Capturing natural hand articulation. In Proc. of ICCV 2001, volume 2, pages 426-432 vol.2.
29. C. Xu and L. Cheng. Efficient hand pose estimation from a single depth image. In Proc. of ICCV 2013.
30. M. Ye, X. Wang, R. Yang, L. Ren, and M. Pollefeys. Accurate 3d pose estimation from a single depth image. In Proc. of ICCV 2011, pages 731-738.