References

[TP91]

M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71-86, 1991.

[ZKC+98]

W. Zhao, A. Krishnaswamy, R. Chellappa, D. Swets and J. Weng. Discriminant analysis of principal components for face recognition, pages 73-85. Springer Verlag Berlin, 1998.

[GHW12]

M. Günther, D. Haufe and R.P. Würtz. Face recognition with disparity corrected Gabor phase differences. In Artificial neural networks and machine learning, volume 7552 of Lecture Notes in Computer Science, pages 411-418. 9/2012.

[ZSG+05]

W. Zhang, S. Shan, W. Gao, X. Chen and H. Zhang. Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition. Computer Vision, IEEE International Conference on, 1:786-791, 2005.

[MM09]

C. McCool, S. Marcel. Parts-based face verification using local frequency bands. In Advances in biometrics, volume 5558 of Lecture Notes in Computer Science. 2009.

[WMM+12]

R. Wallace, M. McLaren, C. McCool and S. Marcel. Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models. IEEE Transactions on Information Forensics and Security, 2012.

[WMM+11]

R. Wallace, M. McLaren, C. McCool and S. Marcel. Inter-session variability modelling and joint factor analysis for face authentication. International Joint Conference on Biometrics. 2011.

[Pri07]

S. J. D. Prince. Probabilistic linear discriminant analysis for inferences about identity. Proceedings of the International Conference on Computer Vision. 2007.

[ESM+13]

L. El Shafey, Chris McCool, Roy Wallace and Sébastien Marcel. A scalable formulation of probabilistic linear discriminant analysis: applied to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(7):1788-1794, 7/2013.

[MWP98]

B. Moghaddam, W. Wahid and A. Pentland. Beyond eigenfaces: probabilistic matching for face recognition. IEEE International Conference on Automatic Face and Gesture Recognition, pages 30-35. 1998.

[TT10]

X. Tan and B. Triggs. Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Transactions on Image Processing, 19(6):1635-1650, 2010.

[WLW04]

H. Wang, S.Z. Li and Y. Wang. Face recognition under varying lighting conditions using self quotient image. In IEEE International Conference on Automatic Face and Gesture Recognition (AFGR), pages 819-824. 2004.

[HRM06]

G. Heusch, Y. Rodriguez, and S. Marcel. Local Binary Patterns as an Image Preprocessing for Face Authentication. In IEEE International Conference on Automatic Face and Gesture Recognition (AFGR), 2006.

[WFK97]

L. Wiskott, J.-M. Fellous, N. Krüger and C.v.d. Malsburg. Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19:775-779, 1997.

[ZSQ+09]

W. Zhang, S. Shan, L. Qing, X. Chen and W. Gao. Are Gabor phases really useless for face recognition? Pattern Analysis & Applications, 12:301-307, 2009.

[GW09]

M. Günther and R.P. Würtz. Face detection and recognition using maximum likelihood classifiers on Gabor graphs. International Journal of Pattern Recognition and Artificial Intelligence, 23(3):433-461, 2009.

[GWM12]

M. Günther, R. Wallace and S. Marcel. An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms. Computer Vision - ECCV 2012. Workshops and Demonstrations, LNCS, 7585, 547-556, 2012.

[PBD+11]

P.J. Phillips, J.R. Beveridge, B.A. Draper, G. Givens, A.J. O’Toole, D.S. Bolme, J. Dunlop, Y.M. Lui, H. Sahibzada and S. Weimer. An introduction to the Good, the Bad, & the Ugly face recognition challenge problem. Automatic Face Gesture Recognition and Workshops (FG 2011), pages 346-353. 2011.

[LBP+12]

Y.M. Lui, D.S. Bolme, P.J. Phillips, J.R. Beveridge and B.A. Draper. Preliminary studies on the Good, the Bad, and the Ugly face recognition challenge problem. Computer Vision and Pattern Recognition Workshops (CVPRW), pages 9-16. 2012.