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Facial expression recognition method and device, terminal equipment and storage medium

A technology of facial expression recognition and expression recognition, which is applied in character and pattern recognition, acquisition/recognition of facial features, instruments, etc., can solve the problem of low accuracy of symmetrical expression recognition, improve the accuracy of expression recognition, avoid mistakes, The effect of strengthening the recognition effect

Pending Publication Date: 2021-07-23
CHINA PING AN LIFE INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a facial expression recognition method, device, terminal equipment and computer-readable storage medium to solve the problem of low accuracy of similar symmetrical expression recognition in the prior art

Method used

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  • Facial expression recognition method and device, terminal equipment and storage medium
  • Facial expression recognition method and device, terminal equipment and storage medium
  • Facial expression recognition method and device, terminal equipment and storage medium

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Experimental program
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Effect test

Embodiment 1

[0052] The facial expression recognition method involved in the embodiment of the present application is applied to the facial expression recognition scene of a human face image. see figure 1 , figure 1 It shows the implementation flow chart of a facial expression recognition method provided by the embodiment of the present application. The method can be executed by a facial expression recognition device, which can be a control device or a terminal tablet, a PC or a server, etc.; The facial expression recognition method specifically includes the following steps:

[0053] S110. Perform face appearance information extraction and face feature point detection on the face image to be recognized to obtain first appearance feature information and first feature point information.

[0054] The emotional expression of the face is reflected by the shape change or position movement of the facial features, and the facial features include information such as facial features, muscle trend...

Embodiment 2

[0076] see figure 2 , figure 2 It is a schematic flow chart of a facial expression recognition method provided in Embodiment 2 of the present application. On the basis of Embodiment 1, the method can be executed by a facial expression recognition device, which can be a mobile terminal, tablet, server and other equipment. In the embodiment of the present application, the facial expression recognition device is described as the execution subject. This embodiment also provides expression recognition in combination with the context information of the face image to be recognized, so as to improve the accuracy of expression recognition. The method specifically includes the following steps:

[0077] S201. Perform face appearance information extraction and face feature point detection on the face image to be recognized to obtain first appearance feature information and first feature point information;

[0078] By extracting face appearance information and face feature point detec...

Embodiment 3

[0113] see image 3 , image 3 It is a structural block diagram of a facial expression recognition device provided in Embodiment 3 of the present application. In this embodiment, each unit included in the mobile terminal is used to perform figure 1 Each step in the corresponding embodiment. For details, please refer to figure 1 as well as figure 1 Related descriptions in the corresponding embodiments. For ease of description, only parts related to this embodiment are shown. see image 3 , facial expression recognition device 30 comprises:

[0114] Information extraction module 301, is used to carry out face appearance information extraction and face feature point detection to the face image to be recognized, obtains the first appearance feature information and the first feature point information;

[0115] An information fusion module 302, configured to fuse the first apparent feature information and the first feature point information to obtain a first feature vector; ...

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Abstract

The invention is suitable for the technical field of artificial intelligence, and provides a facial expression recognition method and device, terminal equipment and a storage medium, and the method comprises the steps: carrying out the face appearance information extraction and face feature point detection of a to-be-recognized face image, and obtaining first appearance feature information and first feature point information; fusing the first apparent feature information and the first feature point information to obtain a first feature vector; inputting the first feature vector into an expression recognition model to obtain a predicted expression; determining a similar expression associated with the predicted expression; and inputting the face image to be recognized into an expression distinguishing model associated with the predicted expression and the similar expression corresponding to the predicted expression to obtain an expression recognition result, wherein the expression distinguishing model is used for distinguishing the predicted expression and the similar expression corresponding to the predicted expression. The problem of low recognition accuracy of similar symmetric expressions is solved. In addition, the invention also relates to a block chain technology.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a method, device, terminal device, and computer-readable storage medium for facial expression recognition. Background technique [0002] Facial expression is the most direct and effective emotional model. By performing expression recognition on the captured face images, the expression presented by the face can be obtained. There are currently seven types of single expression recognition: angry, scared, disgusted, happy, sad, surprised and neutral. On this basis, compound expressions are further divided into main expressions and auxiliary expressions. [0003] The difficulty of expression recognition is that some expressions belong to the same expression category with large differences, while some expressions do not belong to the same expression category but the difference is small (such as surprise and fear, etc.). In the existing technology, the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/174G06V40/172G06V40/168G06F18/2321G06F18/22G06F18/253
Inventor 张志远易苗
Owner CHINA PING AN LIFE INSURANCE CO LTD
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