Dual-stream high-dimensional features implicit augmentation for micro-expression recognition

Xi Yue; Wenxin Wang

doi:10.1117/12.3005827

10 October 2023 Dual-stream high-dimensional features implicit augmentation for micro-expression recognition

Xi Yue, Wenxin Wang

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127991H (2023) https://doi.org/10.1117/12.3005827
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Aiming at the problem that micro-expression (ME) participants have their own expressions that interfere with microexpression recognition (MER), a dual-stream high-dimensional features implicit augmentation for MER is proposed. The innovative fusion method of adaptive face mask and Action Units (AUs) is used to reduce the interference of the participants' own expressions, and combined with optical flow information to form more focused high-dimensional spatiotemporal information. Enhance high-dimensional spatio-temporal features through an improved implicit semantic data enhancement algorithm to alleviate the problem of small sample data. Using high-dimensional spatiotemporal information to focus the network model on ME active areas. Using a two-stream hybrid convolutional network to extract features from temporal and spatial domain information respectively to improve the representation ability of the network. The experimental results show that under the evaluation criteria of MEGC2019, UF1 and UAR are improved by 5.5% and 6.8% respectively compared with the best method.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xi Yue and Wenxin Wang "Dual-stream high-dimensional features implicit augmentation for micro-expression recognition", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127991H (10 October 2023); https://doi.org/10.1117/12.3005827

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