On channel reliability measure training for multi-camera face recognition

Proceedings - IEEE Workshop on Applications of Computer Vision, WACV 2007

Volumn , Issue , 2007, Pages

  Binglong, Xie ^a   Ramesh, Visvanathan ^a   Ying, Zhu ^a   Boult, Terry ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b University of Colorado Colorado Springs   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST; CHANNEL RECOGNITION; SINGLE-CAMERA FACE RECOGNITION;

CAMERAS; CLASSIFICATION (OF INFORMATION); LIGHTING; PERSONNEL TRAINING; RELIABILITY;

FACE RECOGNITION;

EID: 34547152630     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2007.46     Document Type: Conference Paper

References (17)

1. M. Turk and A.P. Pentland, "Eigenfaces for recognition," CogNeuro, vol. 3, no. 1, pp. 71-96, 1991.
2. Peter N. Belhumeur, Joao Hespanha, and David J. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection," in ECCV(1), 1996, pp. 45-58.
3. L. Wiskott, J.M. Fellous, N. Kruger, and C. von der Malsburg, "Face recognition by elastic bunch graph matching," PAMI, vol. 19, no. 7, pp. 775-779, July 1997.
4. CS. Chua, R Han, and Y.K. Ho, "3d human face recognition using point signature," in AFGR00, 2000, pp. 233-238.
5. Shihong Lao, Masato Kawade, Yasushi Sumi, and Fumiaki Tomita, "Building 3d facial models and detecting face pose in 3d space," in Proc. 2nd Int'l Conf. on 3-D Digital Imaging and Modeling, 3DIM99, 1999, pp. 398-404.
6. W. Zhao, "3d model enhanced face recognition," in ICIP00, 2000, p. WA02.05.
7. V. Blanz, S. Romdhani, and T Vetter, "Face identification across different poses and illuminations with a 3d morphable model," in AFGR02, 2002, pp. 192-197.
8. P.J. Phillips, P. Grother, R.J Micheals, D.M. Blackburn, E Tabassi, and J.M. Bone, "Frvt 2002: Overview and summary," http://www.frvt.org/ FRVT2002/documents.htm, March 2003.
9. Binglong Xie, Terry Boult, Visvanathan Ramesh, and Ying Zhu, "Multi-camera face recognition by reliability-based selection," in IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, Alexandria, VA, USA, October 2006.
10. Y. Freund and R. E. Schapire, "A desicion-theoretic generalization of on-line learning and an application to boosting," in Computational Learning Theory: Second European Conference(EuroCOLT'95), P. Vitanyi, Ed., pp. 23-37. Springer, Berlin, 1995.
11. B. Heisele, T. Serre, M. Pontil, and T. Poggio, "Componentbased face detection," in CVPR01, 2001, pp. 1:657-662.
12. P. Viola and M. Jones, "Robust real-time face detection," in ICCV01, 2001, p. II: 747.
13. Binglong Xie, Dorin Comaniciu, Visvanathan Ramesh, Terry Boult, and Markus Simon, "Component fusion for face detection in the presence of heteroscedastic noise," in Annual Conf. of the German Society for Pattern Recognition (DAGM'03), Magdeburg, Germany, 2003.
14. Shaohua Zhou, Rama Chellappa, and Wenyi Zhao, Unconstrained Face Recognition, Springer, 2006.
15. J. Kittler, M. Hatef, R.P.W. Duin, and J. Matas, "On combining classifiers," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, pp. 226-239, 1998.
16. J. Friedman, T Hastie, and R. Tibshirani, "Additive logistic regression: a statistical view of boosting," 1998.
17. R. Schapire, "The boosting approach to machine learning: An overview," 2001.