Expression recognition method and system for privacy protection

An expression recognition and privacy protection technology, applied in the field of face recognition, can solve the problem of not fully considering the security of face image information, and achieve the effect of facilitating training and recognition, protecting privacy information, and strong identification performance

Active Publication Date: 2019-12-24
CAPITAL NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

The existing facial expression recognition algorithm does not fully consider the security of facial image information

Method used

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  • Expression recognition method and system for privacy protection
  • Expression recognition method and system for privacy protection
  • Expression recognition method and system for privacy protection

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Embodiment Construction

[0037] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0038] The privacy-protected expression recognition method and system according to the embodiments of the present invention will be described below with reference to the accompanying drawings. First, the privacy-protected expression recognition method according to the embodiments of the present invention will be described with reference to the accompanying drawings.

[0039] figure 1 It is a flowchart of a privacy-protected facial expression recognition method according to an embodiment of the present invention.

[0040] Such as...

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Abstract

The invention discloses an expression recognition method and an expression recognition system for privacy protection. The method comprises the following steps: obtaining a plurality of color face images, and carrying out the preprocessing of the plurality of color face images, and obtaining the color components of the plurality of color face images; taking the color components as imaginary parts of a quaternion matrix, constructing a first quaternion matrix, and calculating a local variance of the first quaternion matrix; constructing a second quaternion matrix by taking the local variance asa real part of the quaternion matrix and the color component as an imaginary part of the quaternion matrix; performing encryption processing on the second quaternion matrix by adopting quaternion Gyrator transformation to generate a real number matrix; randomly scrambling the real number matrix so as to train the convolutional neural network, and using the trained convolutional neural network to identify and verify the color face image. The method has the advantages of stronger recognition performance, higher safety and revocation.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a privacy-protected facial expression recognition method and system. Background technique [0002] In daily life, facial images contain rich information, which not only conveys emotions but also conveys rich emotional information of communicators. With the continuous development of artificial intelligence, the research on facial expression recognition technology has become increasingly active, and it has been widely used in human-computer interaction, computer-aided learning, health monitoring and other fields. [0003] As an important biological characteristic, facial expression has certain privacy. The existing facial expression recognition algorithms do not fully consider the security of facial image information. Contents of the invention [0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/174
Inventor 邵珠宏尚媛园徐子涵孙浩浩丁辉刘铁张伟功王晶
Owner CAPITAL NORMAL UNIVERSITY
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