Nonnegative Tensor Factorization based on Low-Rank Subspace for Facial Expression Recognition

Author:

Liu XingangORCID,Li Chenqi,Dai Cheng,Lai Jinfeng,Chao Han-Chieh

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference48 articles.

1. Zhang K, Huang Y, Du Y, Wang L (2017) Facial expression recognition based on deep evolutional spatial-temporal networks. IEEE Trans. Image Process. 26(9):4193–4203

2. Shan C, Gong S, McOwan PW (2009) Facial expression recognition based on local binary patterns: A comprehensive study. Image Vis Comput 27(6):803–816

3. Shan C, Gong S, McOwan PW (2006) A comprehensive empirical study on linear subspace methods for facial expression analysis. In: IEEE conference on computer vision and pattern recognition workshop. IEEE, pp 153–153

4. Turk MA, Pentland AP (1991) Face recognition using eigenfaces. In: IEEE computer society conference on computer vision and pattern recognition. IEEE, pp 586–591

5. Belhumeur PN, Hespanha JP, Kriegman DJ (1997) Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence (7):711–720

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