Invention Application
- Patent Title: MICRO-EXPRESSION RECOGNITION METHOD BASED ON MULTI-SCALE SPATIOTEMPORAL FEATURE NEURAL NETWORK
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Application No.: US17471384Application Date: 2021-09-10
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Publication No.: US20220269881A1Publication Date: 2022-08-25
- Inventor: Jianhua TAO , Hao ZHANG , Bin LIU , Wenxiang SHE
- Applicant: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES
- Applicant Address: CN Beijing
- Assignee: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES
- Current Assignee: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES
- Current Assignee Address: CN Beijing
- Priority: CN202110188615.1 20210219
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N3/04 ; G06K9/62

Abstract:
Disclosed is a micro-expression recognition method based on a multi-scale spatiotemporal feature neural network, in which spatial features and temporal features of micro-expression are obtained from micro-expression video frames, and combined together to form more robust micro-expression features, at the same time, since the micro-expression occurs in local areas of a face, active local areas of the face during occurrence of the micro-expression and an overall area of the face are combined together for micro-expression recognition.
Public/Granted literature
- US11908240B2 Micro-expression recognition method based on multi-scale spatiotemporal feature neural network Public/Granted day:2024-02-20
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