|
[1] Karl Pearson. Liii. on lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2(11): 559–572, 1901. [2] Ronald A Fisher. The use of multiple measurements in taxonomic problems. Annals of eugenics, 7(2):179–188, 1936. [3] AS Tolba, AH El-Baz, and AA El-Harby. Face recognition: A literature review. International Journal of Signal Processing, 2(2):88–103, 2006. [4] Wenyi Zhao, Rama Chellappa, P Jonathon Phillips, and Azriel Rosenfeld. Face recognition: A literature survey. Acm Computing Surveys (CSUR), 35(4):399–458, 2003. [5] Jie Zou, Qiang Ji, and George Nagy. A comparative study of local matching approach for face recognition. IEEE Transactions on Image Processing., 16(10):2617–2628, 2007. [6] Guodong Guo, Stan Z Li, and Kap Luk Chan. Face recognition by support vector machines. In Automatic Face and Gesture Recognition. Fourth IEEE International Conference on Proceedings., pages 196–201. IEEE, 2000. [7] Bo Wu, Haizhou Ai, Chang Huang, and Shihong Lao. Fast rotation invariant multiview face detection based on real adaboost. In Automatic Face and Gesture Recognition. Sixth IEEE International Conference on Proceedings., pages 79–84. IEEE, 2004. 35 [8] Zhimin Cao, Qi Yin, Xiaoou Tang, and Jian Sun. Face recognition with learning-based descriptor. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR)., pages 2707–2714. IEEE, 2010. [9] Margarita Osadchy, Benny Pinkas, Ayman Jarrous, and Boaz Moskovich. Scifi-a system for secure face identification. In IEEE Symposium on Security and Privacy (SP), pages 239–254. IEEE, 2010. [10] Marina Blanton and Paolo Gasti. Secure and efficient protocols for iris and fingerprint identification. In Computer Security–ESORICS 2011, pages 190–209. Springer, 2011. [11] William Robson Schwartz, Huimin Guo, and Larry S Davis. A robust and scalable approach to face identification. In Computer Vision–ECCV 2010, pages 476–489. Springer, 2010. [12] Xiaoyang Tan and Bill Triggs. Fusing gabor and lbp feature sets for kernel-based face recognition. In Analysis and Modeling of Faces and Gestures, pages 235–249. Springer, 2007. [13] Wenchao Zhang, Shiguang Shan, Wen Gao, Xilin Chen, and Hongming Zhang. Local gabor binary pattern histogram sequence (lgbphs): A novel non-statistical model for face representation and recognition. In Tenth IEEE International Conference on Computer Vision(ICCV)., volume 1, pages 786–791. IEEE, 2005. [14] Timo Ahonen, Abdenour Hadid, and Matti Pietikäinen. Face recognition with local binary patterns. In Computer vision-eccv 2004, pages 469–481. Springer, 2004. [15] Baochang Zhang, Shiguang Shan, Xilin Chen, and Wen Gao. Histogram of gabor phase patterns (hgpp): a novel object representation approach for face recognition. IEEE Transactions on Image Processing., 16(1):57–68, 2007. 36 [16] Timo Ojala, Matti Pietikainen, and Topi Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence., 24(7):971–987, 2002. [17] Ralph Gross and Vladimir Brajovic. An image preprocessing algorithm for illumination invariant face recognition. In Audio-and Video-Based Biometric Person Authentication, pages 10–18. Springer, 2003. [18] Dawei Yang and Yandong Tang. Illumination compensation for face image using retinex method based on bilateral filtering. In 2010 Third International Conference on Intelligent Networks and Intelligent Systems, pages 92–95, 2010. [19] Young Kyung Park, Seok Lai Park, and Joong Kyu Kim. Retinex method based on adaptive smoothing for illumination invariant face recognition. Signal Processing, 88(8): 1929–1945, 2008. [20] Hervé Abdi and Lynne J Williams. Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4):433–459, 2010. [21] Peter JA Shaw. Multivariate statistics for the environmental sciences. Arnold London, 2003. [22] John W Sammon. An optimal discriminant plane. IEEE Transactions on Computers, 100(9):826–829, 1970. [23] Donald H. Foley and John W Sammon. An optimal set of discriminant vectors. IEEE Transactions on Computers, 100(3):281–289, 1975. [24] J Duchene and S Leclercq. An optimal transformation for discriminant and principal component analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 10(6):978–983, 1988. 37 [25] Alberto Broggi, Pietro Cerri, Stefano Ghidoni, Paolo Grisleri, and Ho Gi Jung. A new approach to urban pedestrian detection for automatic braking. IEEE Transactions on Intelligent Transportation Systems., 10(4):594–605, 2009. [26] Xiangrong Chen, Lie Gu, Stan Z Li, and Hong-Jiang Zhang. Learning representative local features for face detection. In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, volume 1, pages I–1126. IEEE, 2001. [27] Paul Viola and Michael Jones. Rapid object detection using a boosted cascade of simple features. In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, volume 1, pages I–511. IEEE, 2001. [28] David S Bolme, J Ross Beveridge, Marcio Teixeira, and Bruce A Draper. The csu face identification evaluation system: its purpose, features, and structure. In Computer Vision Systems, pages 304–313. Springer, 2003. [29] Edwin H Land. An alternative technique for the computation of the designator in the retinex theory of color vision. Proceedings of the National Academy of Sciences, 83(10): 3078–3080, 1986. [30] Brian Funt. Kobus barnard. michael brockington. vlad cardei. luminance-based multiscale retinex. simon fraser university. In Proceedings AIC Colour 97 Kyoto 8th Congress of the International Colour Association, 1997. [31] Zia-ur Rahman, Daniel J Jobson, and Glenn A Woodell. Retinex processing for automatic image enhancement. In Electronic Imaging 2002, pages 390–401. International Society for Optics and Photonics, 2002. [32] Edwin H Land. The retinex. American Scientist, pages 247–264, 1964. 38 [33] Edwin Herbert Land et al. The retinex theory of color vision. Scientific America., 1977. [34] Zia-ur Rahman, Daniel J Jobson, and Glenn A Woodell. Retinex processing for automatic image enhancement. Journal of Electronic Imaging, 13(1):100–110, 2004. [35] Paul Viola and Michael J Jones. Robust real-time face detection. International journal of computer vision, 57(2):137–154, 2004. [36] Kenneth Jonsson, Josef Kittler, YP Li, and Jiri Matas. Support vector machines for face authentication. Image and Vision Computing, 20(5):369–375, 2002. [37] Steve Lawrence, C Lee Giles, Ah Chung Tsoi, and Andrew D Back. Face recognition: A convolutional neural-network approach. IEEE Transactions on Neural Networks., 8(1): 98–113, 1997. [38] S Rasoul Safavian and David Landgrebe. A survey of decision tree classifier methodology. IEEE transactions on systems, man, and cybernetics, 21(3):660–674, 1991. [39] Wenming Zheng, Li Zhao, and Cairong Zou. Locally nearest neighbor classifiers for pattern classification. Pattern Recognition, 37(6):1307–1309, 2004.
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