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• W3131688354 abstract "Micro-expression can reflect people's real emotions. Recognizing micro-expressions is difficult because they are small motions and have a short duration. As the research is deepening into micro-expression recognition, many effective features and methods have been proposed. To determine which direction of movement feature is easier for distinguishing micro-expressions, this paper selects 18 directions (including three types of horizontal, vertical and oblique movements) and proposes a new low-dimensional feature called the Histogram of Single Direction Gradient (HSDG) to study this topic. In this paper, HSDG in every direction is concatenated with LBP-TOP to obtain the LBP with Single Direction Gradient (LBP-SDG) and analyze which direction of movement feature is more discriminative for micro-expression recognition. As with some existing work, Euler Video Magnification (EVM) is employed as a preprocessing step. The experiments on the CASME II and SMIC-HS databases summarize the effective and optimal directions and demonstrate that HSDG in an optimal direction is discriminative, and the corresponding LBP-SDG achieves state-of-the-art performance using EVM." @default.
• W3131688354 created "2021-03-01" @default.
• W3131688354 creator A5016406362 @default.
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• W3131688354 date "2021-02-16" @default.
• W3131688354 modified "2023-09-23" @default.
• W3131688354 title "A comparative study on movement feature in different directions for micro-expression recognition" @default.
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• W3131688354 doi "https://doi.org/10.48550/arxiv.2102.08068" @default.
• W3131688354 hasPublicationYear "2021" @default.
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