Mcroexpression recognition method based on the principal direction of optical flow

Abstract

The invention provides a micro-expression recognition method based on the main direction of optical flow, which comprises the following steps: interpolating a micro-expression sequence formed by framing a micro-expression video; positioning the eyes and nose of each frame, and calculating the position of the middle point of the eyes as the origin of the coordinate axis; calculating the distance dem and dmn from the origin of the coordinate axis of each frame to the center of each eye and the nose; constructing normalized mesh according to dem and dmn; calculating the optical flow direction ofeach pixel region in all adjacent frame grids and clustering to obtain the optical flow main direction; a rectangular characteristic region being formed in the main direction of the optical flow, andthe pixel region in the main direction of the optical flow being assigned with weight coefficients to obtain the optical flow field optimized by adjacent frame grids, and the curves formed by connecting the related data drawing points being smoothed to obtain the global optical flow field; the pixel region in the main direction of the optical flow being assigned with weight coefficients. A training classifier inputs each optical flow characteristic region and compares the sum of similarities between the traversed-level microexpression sequence and the trained microexpression sequence with S toobtain a classification result.

Description

technical field [0001] The invention relates to a micro-expression recognition method, in particular to a micro-expression recognition method based on the main direction of optical flow. Background technique [0002] With the rapid development of human-computer interaction and affective computing, emotion recognition technology has attracted more and more attention. Among them, facial expression analysis is one of the most intuitive ways for human emotion recognition. There are many situations in which people try to hide or suppress their true emotions, resulting in micro-expressions. Unlike ordinary expressions, micro-expressions cannot be faked and suppressed, and can reflect people's true emotions. Therefore, micro-expressions have had a profound impact in the field of psychology, and at the same time, they have also emerged in the fields of criminal investigation, medical treatment, early warning, negotiation, and public security. [0003] Studies have shown that micr...

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Problems solved by technology

Therefore, the effectiveness of feature expression needs to be improved

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