Data Augmentation and Second-Order Pooling for Facial Expression Recognition

Facial expression is the main medium of information transmission in human communication, playing an important role in human's daily life. Facial expression recognition is still challenging due to the various obstacle, illumination, and posture. However, most of the existing works focus on deepe...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.86821-86828
Hauptverfasser:	Tong, Xiaoyun, Sun, Songlin, Fu, Meixia
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Artificial neural networks Convolution Convolutional neural networks Covariance Covariance matrices Data augmentation Data models deep convolutional neural networks Eigenvalues and eigenfunctions Face recognition Facial expression recognition Feature extraction Human communication Iterative methods Recognition second-order pooling
Online-Zugang:	Volltext
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