Video-based face recognition using Bayesian inference model

Lecture Notes in Computer Science

Volumn 3546, Issue , 2005, Pages 122-130

  Fan, Wei ^a   Wang, Yunhong ^a,b   Tan, Tieniu ^a  

^a INSTITUTE OF AUTOMATION   (China)

^b BEIHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; DATABASE SYSTEMS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION;

BAYESIAN INFERENCE MODEL; LOCALLY LINEAR EMBEDDING (LLE).; MIDDLE-SCALE VIDEO DATABASE; TEMPORAL DYNAMICS;

FACE RECOGNITION;

EID: 26444534366     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11527923_13     Document Type: Conference Paper

References (18)

1. R. Chellappa, C.L. Wilson, and S. Sirohey, "Human and machine recognition of faces: a survey", Proceedings of the IEEE, Vol. 83, pp. 705-741, May 1995.
2. M. Turk and A. Pentland, "Eigenfaces for recognition", J. of Cognitive Neuroscience, Vol. 3, No. 1, pp. 71-86, 1991.
3. V. Belhumeur, J. Hespanda, and D. Kiregeman, "Eigenfaces vs. fisherfaces: recognition using class specific linear projection", IEEE Trans. on PAMI, Vol. 19, No. 7, pp. 711-720, July 1997.
4. L. Wiskott, J.M. Fellous, N. Kruger and C. von der Malsburg, "Face Recognition by Elastic Bunch Graph Matching," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 19, No.7, pp. 775-779, July, 1997.
5. Y. Li, S. Gong, and H. Liddell, "Video-Based Online Face Recognition Using Identity Surfaces", Proceedings of IEEE ICCV Workshop on Recogntion, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pp. 40-46, 2001
6. S. Zhou and R. Chellappa. "Probabilistic human recognition from video". European Conference on Computer Vision (ECCV), May 2002.
7. X.Liu, and T.Chen, "Video-Based Face Recognition Using Adaptive Hidden Markov Models", Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition, pp. 340-345, 2003.
8. K.C.Lee, J.Ho, M.H.Yang, and D.Kriegman, "Video-Based Face Recognition Using Probabilistic Appearance Manifolds", In Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition, pp. 313-320, 2003.
9. Alice J. O'Toole*, Dana A. Roark, Herv Abdi, "Recognizing moving faces: A psychological and neural synthesis", Trends in Cognitive Sciences, 6, 261-266. Reed, CL, Stone, VE, Bozova, S., Tanaka, J. (2003).
10. A.Hadid, and M.Pietikainen, "From Still Image to Video-Based Face Recognition: An Experimental Analysis", Proc. of IEEE Int. Conf. on Automatic Face and Gesture Recognition, pp. 813-818, 2004.
11. S. T. Roweis and L. K. Saul, "Nonlinear Dimensionality Reduction by Locally Linear Embedding," Science 290, 2323-2326, 2000.
12. L. K. Saul and S. T. Roweis, "Think Globally, Fit Locally: Unsupervised Learning of Nonlinear Manifolds," Technical Report MS CIS-02-18, University of Pennsylvania, 2003.
13. Gong S, McKenna S J and Collins J J, "An Investigation into Face Pose Distributions", Second International Conference on Automated Face and Gesture Recognition, Vermont, USA, October 1996.
14. A. Pentland, B. Moghaddam, T. Starner, "View-based and modular eigenspaces for face recognition", Proceedings of IEEE, CVPR, 1994.
15. J. B. Tenenbaum, V. D. Silva, and J. C. Langford, "A Global Geometric Framework for Nonlinear Dimensionality Reduction," Science, 290(5500):2319-2323, 2000.
16. R. Duda, P. Hart, and D. Stork. Pattern Classification. WileyInterscience, 2001.
17. S. Zhou and R. Chellappa. "Probabilistic Identity Characterization for Face Recognition" . In Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition, pp. 805-812, 2004.
18. Wei Fan, Yunhong Wang, Wei Liu, Tieniu Tan, "Combining Null Space-based Gabor Features for Face Recognition", In Proc. of the 17th International Conference on Pattern Recognition, pp. 330-333, Cambridge, UK, 2004.