[1]余拓,陈莹.基于加权边缘弱化引导滤波的人脸光照补偿[J].智能系统学报,2018,13(3):373-379.[doi:10.11992/tis.201612011]
 YU Tuo,CHEN Ying.Face illumination compensation based on weighted edge-weakening guided image filter[J].CAAI Transactions on Intelligent Systems,2018,13(3):373-379.[doi:10.11992/tis.201612011]
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基于加权边缘弱化引导滤波的人脸光照补偿

参考文献/References:
[1] LIAN Zhichao, ER M J. Illumination normalisation for face recognition in transformed domain[J]. Electronics letters, 2010, 46(15):1060-1061.
[2] ZOU Jie, JI Qiang, NAGY G. A comparative study of local matching approach for face recognition[J]. IEEE transactions on image processing, 2007, 16(10):2617-2628.
[3] GUO Guodong, LI S Z, CHAN K. Face recognition by support vector machines[C]//Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition. Grenoble, France:IEEE, 2000:196-201.
[4] 叶剑锋, 王化明. AdaBoost检测结合SOM的自动人脸识别方法[J]. 哈尔滨工程大学学报, 2018, 39(1):129-134. YE Jianfeng, WANG Huaming. An automatic face recognition method using AdaBoost detection and SOM[J]. Journal of Harbin engineering university, 2018, 39(1):129-134.
[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. Nice, France:IEEE, 2003:157-164.
[6] AHONEN T, HADID A, PIETIKAINEN M. Face description with local binary patterns:application to face recognition[J]. IEEE transactions on pattern analysis and machine intelligence, 2006, 28(12):2037-2041.
[7] 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.
[8] DÉNIZ O, BUENO G, SALIDO J, et al. Face recognition using histograms of oriented gradients[J]. Pattern recognition letters, 2011, 32(12):1598-1603.
[9] LUO Yong, GUAN Yepeng. Enhanced facial texture illumination normalization for face recognition[J]. Applied optics, 2015, 54(22):6887-6894.
[10] GEORGHIADES A S, BELHUMEUR P N, KRIEGMAN D J. From few to many:illumination cone models for face recognition under variable lighting and pose[J]. IEEE transactions on pattern analysis and machine intelligence, 2001, 23(6):643-660.
[11] BLANZ V, VETTER T. Face recognition based on fitting a 3D morphable model[J]. IEEE transactions on pattern analysis and machine intelligence, 2003, 25(9):1063-1074.
[12] ZHANG Lei, SAMARAS D. Face recognition from a single training image under arbitrary unknown lighting using spherical harmonics[J]. IEEE transactions on pattern analysis and machine intelligence, 2006, 28(3):351-363.
[13] 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.
[14] ZHANG Taiping, TANG Yuanyan, FANG Bin, et al. Face recognition under varying illumination using gradientfaces[J]. IEEE transactions on image processing, 2009, 18(11):2599-2606.
[15] WANG Haitao, LI S Z, WANG Yangsheng. Generalized quotient image[C]//Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, DC, USA:IEEE, 2004, 2:Ⅱ-498-Ⅱ-505.
[16] WANG Biao, LI Weifeng, YANG Wenming, et al. Illumination normalization based on Weber’s law with application to face recognition[J]. IEEE signal processing letters, 2011, 18(8):462-465.
[17] BARADARANI A, WU Q M J, AHMADI M. An efficient illumination invariant face recognition framework via illumination enhancement and DD-DT WT filtering[J]. Pattern recognition, 2013, 46(1):57-72.
[18] HU Haifeng. Illumination invariant face recognition based on dual-tree complex wavelet transform[J]. IET computer vision, 2015, 9(2):163-173.
[19] CHEN Chao, SHEN Haibin. Illumination compensation method using edge-weakening guided image filter for face recognition[J]. Electronics letters, 2015, 51(19):1495-1497.
[20] HE Kaiming, SUN Jian, TANG Xiaoou. Guided image filtering[J]. IEEE transactions on pattern analysis and machine intelligence, 2013, 35(6):1397-1409.
[21] DRAPER N R, SMITH H. Applied regression analysis[M]. New York:John Wiley and Sons, 2014.
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备注/Memo

收稿日期:2016-12-09。
基金项目:国家自然科学基金项目(61573168).
作者简介:余拓,男,1993年生,硕士研究生,主要研究方向为人脸识别;陈莹,女,1976年生,教授,博士,CCF会员,主要研究方向为计算机视觉、模式识别。
通讯作者:陈莹.E-mail:chenying@jiangnan.edu.cn.

更新日期/Last Update: 2018-06-25
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