Fast single sample face recognition based on sparse representation classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-09855-w.pdf
Reference31 articles.
1. Abdelmaksoud M, Nabil E, Farag I, Hameed H-A (2020) A novel neural network method for face recognition with a single sample per person. IEEE Access 8:102212–102221
2. Cao Q, Shen L, Xie W, Parkhi O, Zisserman A (2018). Vggface2: a dataset for recognising faces across pose and age. In: Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, pp. 67–74
3. Deng J, Guo J, Xue N, Zafeiriou S (2019). Arcface: additive angular margin loss for deep face recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, IEEE, pp. 4690–4699
4. Deng W, Hu J, Guo J (2012) Extended SRC: Undersampled face recognition via intraclass variant dictionary. IEEE Trans Pattern Anal Mach Intell 34(9):1864–1870
5. Donoho D, Tsaig Y (2008) Fast solution of L1-norm minimization problems when the solution may be sparse. IEEE Transactions on Information Forensics and Security 54(11):4789–4812
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