Research on micro-expression recognition method based on attention mechanism

Lu Huang; Lanshuang Li; Yuzhen Feng; Zhihong Lu

doi:10.1117/12.2671575

28 April 2023 Research on micro-expression recognition method based on attention mechanism

Lu Huang, Lanshuang Li, Yuzhen Feng, Zhihong Lu

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126102N (2023) https://doi.org/10.1117/12.2671575
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

Micro-expressions are rapid, difficult to observe with the naked eye, facial expressions that can reflect real human inner emotions. Micro-expression recognition is still a great challenge due to the characteristics of very short duration and subtle changes (small amplitude of muscle contraction or diastole). Based on this, this paper proposes a 3D convolutional micro-expression recognition method based on attention mechanism, which is a dual-stream structure that can effectively utilize the features of image sequence and optical flow sequence. More effective micro-expression features are extracted using Attention layer, Co-Attention layer to better solve the micro-expression recognition task. Adequate experiments are conducted on the dataset to verify that the model has better recognition results.

Citation Download Citation

Lu Huang, Lanshuang Li, Yuzhen Feng, and Zhihong Lu "Research on micro-expression recognition method based on attention mechanism", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126102N (28 April 2023); https://doi.org/10.1117/12.2671575

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KEYWORDS

Optical flow

Matrices

3D image processing

Data modeling

Facial recognition systems

Image processing

Video

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