[1] Zhao W, Chellappa R, Phillips P J, et al. Face recognition: a literature survey [J]. ACM Computing Surveys, 2003, 35(4): 399-458.
[2] Bhele S G, Mankar V H. A review paper on face recognition techniques [J]. International Journal of Advanced Research in Computer Engineering & Technology, 2012, 1(8): 339-346.
[3] Taigman Y, Yang M, Ranzato M A, et al. Deepface: closing the gap to human-level performance in face verification [C]//2014 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). 2014: 1701-1708.
[4] Sun Y, Wang X, Tang X. Deeply learned face representations are sparse, selective, and robust [C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
2015: 2892-2900.
[5] Schroff F, Kalenichenko D, Philbin J. Facenet: a unified embedding for face recognition and clustering [C]// Proceedings of the IEEE Conference on Computer Vision and Pattern
Recognition. 2015: 815-823.
[6] Zhou E, Cao Z, Yin Q. Naive-deep face recognition: touching the limit of LFW benchmark or not? [EB/OL]. (2015-02-20)[2015-11-23]. http://arxiv.org/pdf/1501.04690vl.pdf.
[7] 孟一飞, 袁雪, 魏学业, 等. 基于样本扩展和线性子空间特征提取的单样本人脸识别[J]. 应用科学学报, 2013, 31(5): 488-494.
[8] 严严, 章毓晋. 基于视频的人脸识别研究进展[J]. 计算机学报, 2009, 32(5): 878-886.
[9] Gorodnichy D O, Granger E, Radtke P, et al. Survey of commercial technologies for face recognition in video [R]. Ottawa: Departmant of National Defence(Canada), 2014.
[10] Granger E, Radtke P, Gorodnichy D, et al. Survey of academic research and prototypes for face recognition in video [R]. Ottawa: Department of National Defence(Canada), 2014.
[11] Lei Y, Bennamoun M, Hayat M, et al. An efficient 3D face recognition approach using local geometrical signatures [J]. Pattern Recognition, 2014, 47(2): 509-524.
[12] Face Analysisl Tencent Youtu [EB/OL]. [2015-10-11]. http://bestimage.qq.com/faceanalyze.html. |