Multi-attention micro-expression recognition based on color and optical flow
Image Processing|更新时间:2024-07-26
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Multi-attention micro-expression recognition based on color and optical flow
“In the field of micro expression recognition, this study proposes a multi attention dual stream network method based on color and optical flow, which effectively improves recognition accuracy. By extracting facial emotional and physiological features through CIE Luv color difference map, combined with dual attention module and cross attention mechanism, accurate classification of micro expressions has been achieved. The experimental results on the SAMM and CASME II datasets are superior to mainstream algorithms, providing a new solution for micro expression recognition research.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 7, Pages: 939-949(2024)
作者机构:
1.太原理工大学 电子信息与光学工程学院, 山西 晋中 030606
2.太原理工大学 电气与动力工程学院, 山西 太原 030024
作者简介:
基金信息:
Scientific Research Grant for Returned Overseas Chinese in Shanxi Province(2020-042);Science and Technology Activities for Returned Overseas Chinese in Shanxi Province(20200017);Basic Research Program of Shanxi Province(20210302123186);National Key Supporting Fields for College Students’ Innovation and Entrepreneurship Projects(20220058)
HUANG Kai, WANG Feng, WANG Ye, et al. Multi-attention micro-expression recognition based on color and optical flow[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 939-949.
DOI:
HUANG Kai, WANG Feng, WANG Ye, et al. Multi-attention micro-expression recognition based on color and optical flow[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 939-949. DOI: 10.37188/CJLCD.2023-0225.
Multi-attention micro-expression recognition based on color and optical flow