Cascaded hand pose regression

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

Volumn 07-12-June-2015, Issue , 2015, Pages 824-832

  Sun, Xiao ^a   Wei, Yichen ^b   Liang, Shuang ^c   Tang, Xiaoou ^a   Sun, Jian ^b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b MICROSOFT RESEARCH   (United States)

^c TONGJI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MOTION ESTIMATION; REGRESSION ANALYSIS;

3D HAND POSE ESTIMATIONS; 3D TRANSFORMATIONS; ARTICULATED OBJECT; HIERARCHICAL REGRESSION; OBJECT POSE; PARAMETERIZED; PUBLIC DATASET; STATE OF THE ART;

PATTERN RECOGNITION;

EID: 84959221681     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298683     Document Type: Conference Paper

References (39)

1. 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 ICCV, 2011
2. A. Erol, G. Bebis, M. Nicolescu, R. D. Boyle, and X. Twombly. Vision-based hand pose estimation: A review. CVIU, 2007
3. L. Breiman. Random forests. Machine learning, 45:5-32, 2001
4. B. Stenger, A. Thayananthan, P. H. S. Torr, and R. Cipolla. Model-based hand tracking using a hierarchical Bayesian filter. PAMI, 2006
5. X. Cao, Y. Wei, F. Wen, and J. Sun. Face alignment by explicit shape regression. In CVPR, 2012
6. C. Keskin, F. Kirac, Y. E. Kara, and L. Akarun. Hand pose estimation and hand shape classification using multi-layered randomized decision forests. In ECCV, 2012
7. A. Criminisi and J. Shotton. Decision Forests for Computer Vision and Medical Image Analysis. Springer, 2013
8. M. Dantone, J. Gall, G. Fanelli, and L. V. Gool. Real-time facial feature detection using conditional regression forests. In CVPR, 2012
9. P. Dollar, P. Welinder, and P. Perona. Cascaded pose regression. In CVPR, 2010
10. D. Tang, T. Y, and T. K. Kim. Real-time articulated hand pose estimation using semi-supervised transductive regression forests. In ICCV, 2013
11. V. Ferrari, M. Marin-Jimenez, and A. Zisserman. Progressive search space reduction for human pose estimation. In CVPR, 2008
12. J. H. Friedman. Greedy function approximation: A gradient boosting machine. The Annals of Statistics, 2001
13. H. Hamer, K. Schindler, E. K. Meier, and L. V. Gool. Tracking a hand manipulating an object. In ICCV, 2009
14. I. Oikonomidis, N. Kyriazis, and A. A. Argyros. Markerless and efficient 26-dof hand pose recovery. In ACCV, 2010
15. I. Oikonomidis, N. Kyriazis, and A. A. Argyros. Efficient model-based 3d tracking of hand articulations using kinect. In BMVC, 2011
16. I. Oikonomidis, N. Kyriazis, and A. A. Argyros. Tracking the articulated motion of two strongly interacting hands. In CVPR, 2012
17. J. M. Rehg and T. Kanade. Visual tracking of high dof articulated structures: an application to human hand tracking. In ECCV, 1994
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 CVPR, 2011
19. J. Taylor, J. Shotton, T. Sharp, and A. Fitzgibbon. The vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation. In CVPR, 2012
20. E. Krupka, A. Vinnikov, B. Klein, A. B. Hillel, D. Freedman, S. Stachniak, and C. Keskin. Discriminative ferns ensemble for hand pose recognition. In CVPR, 2014
21. L. Ballan, A. Taneja, J. Gall, L. V. Gool, and M. Pollefeys. Motion capture of hands in action using discriminative salient points. In ECCV, 2012
22. H. Liang, J. Yuan, and D. Thalmann. Parsing the hand in depth images. IEEE Trans. Multimedia, 2014
23. S. Melax, L. Keselman, and S. Orsten. Dynamics based 3d skeletal hand tracking. In Interactive 3D Graphics and Games, 2013
24. M. L. Gorce, D. J. Fleet, and N. Paragios. Model-based 3d hand pose estimation from monocular video. PAMI, 2011
25. I. Oikonomidis, M. I. Lourakis, and A. A. Argyros. Evolutionary quasi-random search for hand articulations tracking. In CVPR, 2014
26. C. Qian, X. Sun, Y. Wei, X. Tang, and J. Sun. Realtime and robust hand tracking from depth. In CVPR, 2014
27. S. Ren, X. Cao, Y. Wei, and J. Sun. Face alignment at 3000 fps by regressing local binary features. In CVPR, 2014
28. S. Ren, X. Cao, Y. Wei, and J. Sun. Global refinement of random forest. In CVPR, 2015
29. R. Girshick, J. Shotton, P. Kohli, A. Criminisi, and A. Fitzgibbon. Efficient regression of general-activity human poses from depth images. In ICCV, 2011
30. R. Y. Wang and J. Popovi. Real-time hand-tracking with a color glove. In SIGGRAPH, 2009
31. T. Sharp, C. Keskin, D. Robertson, J. Taylor, J. Shotton, D. Kim, C. Rhemann, I. Leichter, A. Vinnikov, Y. Wei, D. Freedman, P. Kohli, E. Krupka, A. Fitzgibbon, and S. Izadi. Accurate, robust, and flexible realtime hand tracking. In CHI, 2015
32. S. Sridhar, A. Oulasvirta, and C. Theobalt. Interactive markerless articulated hand motion tracking using rgb and depth data. In ICCV, 2013
33. M. Sun, P. Kohli, and J. Shotton. Conditional regression forests for human pose estimation. In CVPR, 2012
34. D. Tang, H. J. Chang, A. Tejani, and T.-K. Kim. Latent regression forest: Structured estimation of 3d articulated hand posture. In CVPR, 2014
35. J. Tompson, M. Stein, Y. LeCun, and K. Perlin. Real-time continuous pose recovery of human hands using convolutional networks. ACM Trans. Graph., 2014
36. V. Ganapathi, C. Plagemann, D. Koller, and S. Thrun. Realtime human pose tracking from range data. In ECCV, 2012
37. Y. Wang, J. Min, J. Zhang, Y. Liu, F. Xu, Q. Dai, and J. Chai. Video-based hand manipulation capture through composite motion control. In ACM Trans. Graph, 2013
38. Y. Wu, J. Y. Lin, and T. S. Huang. Capturing natural hand articulation. In ICCV, 2001
39. C. Xu and L. Cheng. Efficient hand pose estimation from a single depth image. In ICCV, 2013.