References¶
- TP91
M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71-86, 1991.
- ZKC98
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.
- ZSG05
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.
- WMM11
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.
- 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.
- 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.
- ZSQ09
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.
- TFP18
de Freitas Pereira, Tiago, André Anjos, and Sébastien Marcel. “Heterogeneous face recognition using domain specific units.” IEEE Transactions on Information Forensics and Security 14.7 (2018): 1803-1816.
- 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.
- LGB18
C. Li, M. Gunther and T. E. Boult. ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering. IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.