Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks

@article{Zhang2017FacialER,
  title={Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks},
  author={Kaihao Zhang and Yongzhen Huang and Yong Du and Liang Wang},
  journal={IEEE Transactions on Image Processing},
  year={2017},
  volume={26},
  pages={4193-4203}
}
One key challenging issue of facial expression recognition is to capture the dynamic variation of facial physical structure from videos. In this paper, we propose a part-based hierarchical bidirectional recurrent neural network (PHRNN) to analyze the facial expression information of temporal sequences. Our PHRNN models facial morphological variations and dynamical evolution of expressions, which is effective to extract “temporal features” based on facial landmarks (geometry information) from… CONTINUE READING
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