公开(公告)号：US20220269881A1

公开(公告)日：2022-08-25

申请号：US17471384

申请日：2021-09-10

Applicant: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES

Inventor： Jianhua TAO ,  Hao ZHANG ,  Bin LIU ,  Wenxiang SHE

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.