Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
T. Ahonen, A. Hadid, and M. Pietikainen. “Face recognition with local binary patterns. In Proceedings of the European Conference on Computer Vision, pages 469–481, Prague, Czech, 2004.
M. S. Bartlett, H. M. Lades, and T. J. Sejnowski. Independent component representations for face recognition. Proceedings of the SPIE, Conference on Human Vision and Electronic Imaging III, 3299:528–539, 1998.
P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman. Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):711–720, July 1997.
M. Bichsel and A. P. Pentland. Human face recognition and the face image set’s topology. CVGIP: Image Understanding, 59:254–261, 1994.
R. Brunelli and T. Poggio. Face recognition: Features versus templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(10):1042–1052, 1993.
R. Chellappa, C. Wilson, and S. Sirohey. Human and machine recognition of faces: A survey. Proceedings of IEEE, 83:705–740, 1995.
I. J. Cox, J. Ghosn, and P. Yianilos. Feature-based face recognition using mixture-distance. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 209–216, 1996.
Face Recognition Vendor Tests (FRVT). http://www.frvt.org.
K. Fukunaga. Introduction to statistical pattern recognition. Academic Press, Boston, 2 edition, 1990.
A. J. Goldstein, L. D. Harmon, and A. B. Lesk. Identification of human faces. Proceedings of the IEEE, 59(5):748–760, 1971.
G. D. Guo, S. Z. Li, and K. L. Chan. Face recognition by support vector machines. In Proc. Fourth IEEE Int. Conf on Automatic Face and Gesture Recognition, pages 196–201, Grenoble, 2000.
R. Hietmeyer. Biometric identification promises fast and secure processing of airline passengers. The International Civil Aviation Organization Journal, 55(9):10–11, 2000.
R.-L. Hsu. Face Detection and Modeling for Recognition. Ph.D. thesis, Michigan State University, 2002.
T. Kanade. Picture Processing by Computer Complex and Recognition of Human Faces. Ph.D. thesis, Kyoto University, 1973.
M. Lades, J. Vorbruggen, J. Buhmann, J. Lange, C. von der Malsburg, R. P. Wurtz, and W. Konen. Distortion invariant object recognition in the dynamic link architecture. IEEE Transactions on Computers, 42:300–311, 1993.
Y. Li, S. Gong, and H. Liddell. Recognising trajectories of facial identities using kernel discriminant analysis. In Proc. British Machine Vision Conference, pages 613–622, 2001.
C. Liu and H. Wechsler. Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition. IEEE Transactions on Image Processing, 11(4):467–476, 2002.
Machine Readable Travel Documents (MRTD). http://www.icao.int/mrtd/overview/overview.cfm.
S. Mika, G. Ratsch, J. Weston, B. Scholkopf, and K.-R. Mller. Fisher discriminant analysis with kernels. Neural Networks for Signal Processing IX, pages 41–48, 1999.
B. Moghaddam. Principal manifolds and bayesian subspaces for visual recognition. In International Conference on Computer Vision (ICCV’99), pages 1131–1136, 1999.
Y. Moses, Y. Adini, and S. Ullman. Face recognition: The problem of compensating for changes in illumination direction. In Proceedings of the European Conference on Computer Vision, volume A, pages 286–296, 1994.
P. Penev and J. Atick. Local feature analysis: A general statistical theory for object representation. Neural Systems, 7(3):477–500, 1996.
P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss. The FERET evaluation methodology for face-recognition algorithms”. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10):1090–1104, 2000.
A. Samal and P. A. Iyengar. Automatic recognition and analysis of human faces and facial expressions: A survey. Pattern Recognition, 25:65–77, 1992.
B. Schölkopf, A. Smola, and K. R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299–1319, 1999.
L. Sirovich and M. Kirby. Low-dimensional procedure for the characterization of human faces. Journal of the Optical Society of America A, 4(3):519–524, 1987.
M. Turk. A random walk through eigenspace. IEICE Trans. Inf. & Syst., E84-D(12):1586–1695, 2001.
M. A. Turk and A. P. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71–86, 1991.
D. Valentin, H. Abdi, A. J. O’Toole, and G. W. Cottrell. Connectionist models of face processing: A survey. Pattern Recognition, 27(9):1209–1230, 1994.
L. Wiskott, J. Fellous, N. Kruger, and C. v. d. malsburg. Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):775–779, 1997.
M.-H. Yang, N. Ahuja, and D. Kriegman. Face recognition using kernel eigenfaces. In Proceedings of the IEEE International Conference on Image Processing, volume 1, pages 37–40, 2000.
P. Yang, S. Shan, W. Gao, S. Z. Li, and D. Zhang. Face recognition using ada-boosted gabor features. In Proceedings of International Conference on Automatic Face and Gesture Recognition, Vancouver, 2004.
G. Zhang, X. Huang, S. Z. Li, and Y. Wang. Boosting local binary pattern (LBP)-based face recognition. In S. Z. Li, J. Lai, T. Tan, G. Feng, and Y. Wang, editors, Advances in Biometric Personal Authentication, volume 3338 of Lecture Notes in Computer Science, pages 180–187. Springer, 2004.
L. Zhang, S. Z. Li, Z. Qu, and X. Huang. Boosting local feature based classifiers for face recognition. In Proceedings of First IEEE Workshop on Face Processing in Video, Washington, D.C., 2004.
W. Zhao, R. Chellappa, P. Phillips, and A. Rosenfeld. Face recognition: A literature survey. ACM Computing Surveys, pages 399–458, 2000.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer Science+Business Media, Inc.
About this chapter
Cite this chapter
Li, S.Z., Jain, A.K. (2005). Introduction. In: Handbook of Face Recognition. Springer, New York, NY. https://doi.org/10.1007/0-387-27257-7_1
Download citation
DOI: https://doi.org/10.1007/0-387-27257-7_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-40595-7
Online ISBN: 978-0-387-27257-3
eBook Packages: Computer ScienceComputer Science (R0)