[1]刘帅师,郭文燕,张言,等.鲁棒的正则化编码随机遮挡表情识别[J].智能系统学报,2018,13(2):261-268.[doi:10.11992/tis.201609002]
 LIU Shuaishi,GUO Wenyan,ZHANG Yan,et al.Recognition of facial expression in case of random shielding based on robust regularized coding[J].CAAI Transactions on Intelligent Systems,2018,13(2):261-268.[doi:10.11992/tis.201609002]
点击复制

鲁棒的正则化编码随机遮挡表情识别

参考文献/References:
[1] MERY D, BOWYER K. Face recognition via adaptive sparse representations of random patches[C]//IEEE International Workshop on Information Forensics and Security. London, UK, 2015: 13-18.
[2] WANG J, LU C, WANG M, et al. Robust face recognition via adaptive sparse representation[J]. IEEE transactions on cybernetics, 2014, 44(12): 2368.
[3] 赵军, 赵艳, 杨勇,等. 基于降维的堆积降噪自动编码机的表情识别方法[J]. 重庆邮电大学学报: 自然科学版, 2016, 28(6): 844-848.
ZHAO Jun, ZHAO Yan, YANG Yong, et al. Facial expression recognition method based on stacked denoising auto-encoders and feature reduction[J]. Journal of Chongqing university of posts and telecommuncaitions: natual science edtion, 2016, 28(6): 844-848.
[4] KOTSIA I, PITAS I, ZAFEIRIOU S, et al. Novel multiclass classifiers based on the minimization of the within-class variance[J]. IEEE transactions on neural networks, 2009, 20(1): 14-34.
[5] TARRéS F, RAMA A, TORRES L. A novel method for face recognition under partial occlusion or facial expression variations[C]//Proceedings of the 47th International Symposium ELMAR. Zadar, Croatia, 2005: 163-166.
[6] KOTSIA I, BUCIU I, PITAS I. An analysis of facial expression recognition under partial facial image occlusion[J]. Image and vision computing, 2008, 26(7): 1052-1067.
[7] ZHANG Ligang, TJONDRONEGORO D, CHANDRAN V. Toward a more robust facial expression recognition in occluded images using randomly sampled Gabor based templates[C]//Proceedings of 2011 IEEE International Conference on Multimedia and Expo. Barcelona, Spain, 2011: 1-6.
[8] 王晓华,李瑞静,胡敏,等.融合局部特征的面部遮挡表情识别[J].中国图象图形学报, 2016, 21 (11) :1473-1482.
WANG Xiaohua, LI Ruijing, HU Min, et al. Occluded facial expression recognition based on the fusion of local features[J]. Journal of image and graphics, 2016, 21(11): 1473-1482.
[9] WRIGHT J, YANG A Y, GANESH A, et al. Robust face recognition via sparse representation[J]. IEEE transactions on pattern analysis and machine intelligence, 2009, 31(2): 210-227.
[10] 朱明旱, 李树涛, 叶华. 基于稀疏表示的遮挡人脸表情识别方法[J]. 模式识别与人工智能, 2014, 27(8): 708-712.
ZHU Minghui, LI Shutao, YE hua. An occluded facial expression recognition method based on sparse representation[J]. Pattern recognition and artificial intelligence, 2014, 27(8): 708-712.
[11] WRIGHT J, YANG A Y, GANESH A, et al. Robust face recognition via sparse representation[J]. IEEE transactions on pattern analysis and machine intelligence, 2009, 31(2): 210-227.
[12] CAO J, ZHANG K, LUO M, et al. Extreme learning machine and adaptive sparse representation for image classification.[J]. Neural networks the official journal of the international neural network society, 2016, 81(C): 91.
[13] ZHANG Jian, JIN Rong, YANG Yiming. Modified logistic regression: an approximation to SVM and its applications in large-scale text categorization[C]//Procee-dings of the Twentieth International Conference on Machine Learning. Washington, DC, USA, 2003: 888-895.
[14] LIU Shuaishi, ZHANG Yan, LIU Keping, et al. Facial expression recognition under partial occlusion based on Gabor multi-orientation features fusion and local Gabor binary pattern histogram sequence[C]//Proceedings of the 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. Beijing, China, 2013: 218-222.
[15] LIU Licheng, CHEN Long, CHEN C L. Weighted joint sparse representation for removing mixed noise in image[J]. IEEE transactions on cybernetics includes computational approaches to the field of cybernetics, 2016: 1-12.
[16] YANG M, SONG T, LIU F, et al. Structured regularized robust coding for face recognition[J]. IEEE transactions on image processing a publication of the IEEE signal processing society, 2013, 22(5): 1753-1766.
[17] 罗元, 吴彩明, 张毅. 基于PCA与SVM结合的面部表情识别的智能轮椅控制[J]. 计算机应用研究, 2012, 29(8): 3166-3168.
LUO Yuan, WU Caiming, ZHANG Yi, et al. Facial expression recognition based on principal component analysis and support vector machine applied in intelligent wheelchair[J]. The research and application of computer, 2012, 29(8): 3166-3168.

备注/Memo

收稿日期:2016-09-06。
基金项目:吉林省教育厅“十三五”科学技术项目(JJKH20170571KJ).
作者简介:刘帅师,女,1981年生,副教授,博士,主要研究方向为模式识别、计算机视觉;郭文燕,女,1991年生,硕士研究生,主要研究方向为模式识别、机器学习;张言,男,1989年生,硕士研究生,主要研究方向为模式识别、机器学习。
通讯作者:刘帅师.E-mail:liu-shuaishi@126.com.

更新日期/Last Update: 1900-01-01
Copyright © 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134 邮箱:tis@vip.sina.com