Supervised local subspace learning for continuous head pose estimation

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

Volumn , Issue , 2011, Pages 2921-2928

  Huang, Dong ^a,c   Storer, Markus ^b   De La Torre, Fernando ^a   Bischof, Horst ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^c UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTER VISION; FACE RECOGNITION;

DIVERSE APPLICATIONS; DRIVER MONITORING; HEAD POSE ESTIMATION; LOCAL LINEAR MODELING; LOCAL TANGENT SPACE; NON-LINEAR REGRESSION; RELIABLE ESTIMATES; SUBSPACE LEARNING;

HUMAN COMPUTER INTERACTION;

EID: 80052890826     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995683     Document Type: Conference Paper

References (28)

1. V. Balasubramanian, Y. Jieping, and S. Panchanathan. Biased manifold embedding: A framework for personindependent head pose estimation. In Proc. CVPR, pages 1-7, 2007. 2922, 2926, 2927
2. M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15:1373-1396, 2003. 2922
3. D. Beymer. Face recognition under varying pose. In Proc. CVPR, pages 756-761, 1994. 2922
4. V. Blanz, P. Grother, P. J. Phillips, and T. Vetter. Face recognition based on frontal views generated from non-frontal images. In Proc. CVPR, volume 2, pages 454-461, 2005. 2921
5. C. Chang and C. Lin. LIBSVM: a library for support vector machines. 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm. 2927
6. T. Cootes, K. Walker, and C. Taylor. View-based active appearance models. In Proc. IEEE Int'l. Conf. on Automatic Face and Gesture Recognition, pages 227-232, 2000. 2922
7. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proc. CVPR, volume 1, pages 886-893, 2005. 2923
8. R. Duda, P. Hart, and D. Stork. Pattern Classification. John Wiley & Sons, 2001. 2922
9. Y. Fu and T. S. Huang. Graph embedded analysis for head pose estimation. In Proc. IEEE Int'l. Conf. on Automatic Face and Gesture Recognition, 2006. 2922, 2926
10. A. Gee and R. Cipolla. Determining the gaze of faces in images. Image and Vision Computing, 12(10):639-647, 1994. 2922
11. R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker. Multi-PIE. Image and Vision Computing, 28(5):807-813, 2010. 2922, 2925
12. J. Huang, X. Shao, and H. Wechsler. Face pose discrimination using support vector machines. In Proc. ICPR, pages 154-156, 1998. 2922
13. M. Jones and P. Viola. Fast multi-view face detection. Technical Report 096, Mitsubishi Electric Research Laboratories, 2003. 2922
14. S. R. H. Langton, H. Honeyman, and E. Tessler. The influence of head contour and nose angle on the perception of eyegaze direction. Perception and Psychophysics, 66(5):752-771, 2004. 2921
15. S. Li, Q. Fu, L. Gu, B. Scholkopf, Y. Cheng, and H. Zhang. Kernel machine based learning for multi-view face detection and pose estimation. In Proc. ICCV, pages 674-679, 2001. 2922
16. Y. Li, S. Gong, J. Sherrah, and H. Liddell. Support vector machine based multi-view face detection and recognition. Image and Vision Computing, 22(5):413-427, 2004. 2922
17. G. Little, S. Krishna, J. Black, and S. Panchanathan. A methodology for evaluating robustness of face recognition algorithms with respect to variations in pose and illumination angle. In Proc. IEEE Int'l. Conf. on Acoustics, Speech and Signal Processing, pages 89-92, 2005. 2923
18. Y. Ma, Y. Konishi, K. Kinoshita, S. Lao, and M. Kawade. Sparse bayesian regression for head pose estimation. In Proc. ICPR, pages 507-510, 2006. 2922, 2926
19. S. J. McKenna and S. Gong. Real-time face pose estimation. Real-Time Imaging, 4(5):333-347, 1998. 2922
20. H. Moon and M. Miller. Estimating facial pose from a sparse representation. In Proc. ICIP, pages 75-78, 2004. 2922
21. E. Murphy-Chutorian and M. M. Trivedi. HyHOPE: hybrid head orientation and position estimation for vision-based driver head tracking. In Proc. IEEE Intelligent Vehicles Symposium, pages 512-517, 2008. 2921
22. E. Murphy-Chutorian and M. M. Trivedi. Head pose estimation in computer vision: A survey. IEEE Trans. on PAMI, 31(4):607-626, 2009. 2922
23. S. Niyogi and W. Freeman. Example-based head tracking. In Proc. IEEE Int'l. Conf. on Automatic Face and Gesture Recognition, pages 374-378, 1996. 2922
24. A. Ranganathan and M.-H. Yang. Online sparse matrix gaussian process regression and vision applications. In Proc. ECCV, 2008. 2922, 2926
25. S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326, 2000. 2922
26. J. Tenenbaum, V. Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323, 2000. 2922
27. J. Wu and M. Trivedi. A two-stage head pose estimation framework and evaluation. Pattern Recognition, 41(3):1138-1158, 2008. 2922
28. L. Yin, X. Wei, Y. Sun, J. Wang, and M. J. Rosato. A 3D facial expression database for facial behavior research. In Proc. IEEE Int'l. Conf. on Automatic Face and Gesture Recognition, pages 211-216, 2006. 2922, 2925, 2926