Micro-expression recognition model based on TV-L1 optical flow method and improved ShuffleNet.

Liu, Yanju; Li, Yange; Yi, Xinhan; Hu, Zuojin; Zhang, Huiyu; Liu, Yanzhong

Liu, Yanju; Li, Yange; Yi, Xinhan; Hu, Zuojin; Zhang, Huiyu; Liu, Yanzhong.

Afiliação

Liu Y; School of Mathematics and Information Science, Nanjing Normal University of Special Education, Nanjing, 210038, China.
Li Y; School of Computer and Control Engineering, Qiqihar University, Qiqihar, 161000, China.
Yi X; School of Computer and Control Engineering, Qiqihar University, Qiqihar, 161000, China.
Hu Z; School of Mathematics and Information Science, Nanjing Normal University of Special Education, Nanjing, 210038, China.
Zhang H; School of Computer and Control Engineering, Qiqihar University, Qiqihar, 161000, China.
Liu Y; School of Computer and Control Engineering, Qiqihar University, Qiqihar, 161000, China. 2020935651@qqhru.edu.cn.

Sci Rep ; 12(1): 17522, 2022 10 20.

Article em En | MEDLINE | ID: mdl-36266408

Assuntos

Fluxo Óptico; Humanos; Redes Neurais de Computação; Face; Reconhecimento Psicológico; Emoções

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fluxo Óptico Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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