Fusing dynamic deep learned features and handcrafted features for facial expression recognition

Author:

Fan Xijian,Tjahjadi Tardi

Funder

National Science Foundation of China

Jiangsu Province Innovative and Entrepreneurial Talent Project

Nanjing Forestry University Start-up Foundation for Research

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference37 articles.

1. Communication and automatic interpretation of affect from facial expressions, affective computing and interaction: psychological;Salah;Cognitive Neurosci. Perspect.,2010

2. Deep spatio-temporal features for multimodal emotion recognition;Nguyen,2017

3. A survey of affect recognition methods: Audio, visual, and spontaneous expressions;Zeng;IEEE Trans. Pattern Anal. Mach. Intell.,2008

4. Constants across cultures in the face and emotion;Ekman;J. Pers. Soc. Psychol.,1971

5. Recognizing action units for facial expression analysis;Tian;IEEE Trans. Pattern Anal. Machine Intell.,2002

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