[1] Adini Y, Moses Y, Ullman S. Face recognition: The problem of compensating for changes in illumination direction[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997,19(7):721-732.
[2] Lades M, Vorbruggen J C, Buhmann J, et al. Distortion invariant object recognition in the dynamic link architecture[J]. IEEE Transactions on Computers, 1993,42(3):300-311.
[3] Ojala T, Pietikainen M, Maenpaa T. Multiresolution grayscale and rotation invariant texture classification with local binary patterns[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002,24(7):971-987.
[4] Pizer S M, Amburn E P, Austin J D, et al. Adaptive histogram equalization and its variations[J]. Computer Vision, Graphics, and Image Processing, 1987,39(3):355-368.
[5] Shan Shiguang, Gao Wen, Cao Bo, et al. Illumination normalization for robust face recognition against varying lighting conditions[C]// IEEE International Workshop on Analysis and Modeling of Faces and Gestures 2003:157-164.
[6] Jobson D J, Rahman Z, Woodell G A. Properties and performance of a center/surround retinex[J]. IEEE Transactions on Image Processing, 1997,6(3):451-462.
[7] Amnon Shashua, Tammy RiklinRaviv. The quotient image: Class-based re-rendering and recognition with varying illuminations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014,23(2):129-139
[8] Riklin-Raviv T, Shashua A. The quotient image: Class based recognition and synthesis under varying illumination[C]// IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1999,2:566-571.
[9] Wang Haitao, Li S Z, Wang Yangsheng. Face recognition under varying lighting conditions using self quotient image[C]// The 6th IEEE International Conference on Automatic Face and Gesture Recognition. 2004:819-824.
[10]Tan Xiaoyang, Triggs B. Enhanced local texture feature sets for face recognition under difficult lighting conditions[J]. IEEE Transactions on Image Processing, 2010,19(6):1635-1650.
[11]Chen T, Yin W, Zhou X S, et al. Total variation models for variable lighting face recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006,28(9):1519-1524.
[12]Liu Jianyi, Zheng Nanning, Xiong Lei, et al. Illumination transition image:Parameter-based illumination estimation and rerendering[C]// The 19th International Conference on Pattern Recognition. 2008:1-4.
[13]Xie Xiaohua, Zheng Wei-shi, Lai Jianhuang, et al. Normalization of face illumination based on large-and small-scale features[J]. IEEE Transaction on Image Processing, 2011,20(7):1807-1821.
[14]Turk M, Pentland A. Eigenfaces for recognition[J]. Journal of Cognitive Neuroscience, 1991,3(1):71-86.
[15]Belhumeur P N, Hespanha J P, Kriegman D J. Eigenfaces vs. fisherfaces:Recognition using class specific linear projection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997,19(7):711-720.
[16]Ke Yan, Chen Youbin, Zhang David. Gabor surface feature for face recognition[C]// IEEE 2011 1st Asian Conference on Pattern Recognition (ACPR). 2011:288-292.
[17]Sim T, Baker S, Bsat M. The CMU pose, illumination, and expression database[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003,25(12):1615-1618.
[18]Gao Wen, Cao Bo, Shan Shiguang, et al. The CASPEAL largescale Chinese face database and baseline evaluations[J]. IEEE Transactions on Systems,Man and CyberneticsPart A:Systems and Humans, 2008,38(1):149-161.
|