Expression recognition method and system for privacy protection

An expression recognition and privacy protection technology, applied in the field of face recognition, can solve problems such as insufficient consideration of the security of face image information, and achieve the effects of easy training and recognition, strong identification performance, and high security

Active Publication Date: 2022-04-22
南方电网互联网服务有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Expression recognition method and system for privacy protection
  • Expression recognition method and system for privacy protection
  • Expression recognition method and system for privacy protection

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a privacy-protected facial expression recognition method and system, wherein the method includes the following steps: acquiring multiple color face images, and preprocessing the multiple color face images to obtain multiple color face images The color component; the color component is used as the imaginary part of the quaternion matrix, the first quaternion matrix is ​​constructed, and the local variance of the first quaternion matrix is ​​calculated; the local variance is used as the real part of the quaternion matrix, and the color component is used as The imaginary part of the quaternion matrix is ​​used to construct the second quaternion matrix; the quaternion Gyrator transformation is used to encrypt the second quaternion matrix to generate a real number matrix; the real number matrix is ​​randomly scrambled to train the convolutional neural network , and use the trained convolutional neural network to verify the color face image recognition. This method has stronger authentication performance, higher security and reversibility.

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. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/16
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 南方电网互联网服务有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap