Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Expression recognition method and device based on local image data fusion

A technology of facial expression recognition and data fusion, applied in the field of face recognition, can solve problems that hinder the stability and accuracy of the facial expression recognition system

Pending Publication Date: 2022-03-01
CHONGQING UNIV OF EDUCATION
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the expression recognition method based on the grayscale image of the face is easily affected by the change of illumination; while the expression recognition method based on the depth image of the face is easily affected by the accuracy of data collection and dynamic changes (such as dynamic changes of facial features, changes in positions, etc.) ) and other factors hinder the stability and accuracy of the facial expression recognition system

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 device based on local image data fusion
  • Expression recognition method and device based on local image data fusion
  • Expression recognition method and device based on local image data fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

[0029] In this embodiment, the facial expression recognition method based on partial image data fusion can be performed by electronic equipment, and the electronic equipment can be a terminal, such as a notebook computer, a personal computer, a tablet computer, a smart phone, etc.; it can also be a server, such as a cloud server , server clusters, etc. Of course, the electronic equipment can also be a dedicated device, such as a purpose-developed device, including a processing device and an image acquisition device, and the image acquisition device includes a set real-time image acquisition component (such as a high-definition camera) and a depth image acquisition component (such as a depth camera), which are respectively used for real-time and synchronous shooting of real-time images (corresponding...

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 provides an expression recognition method and device based on local image data fusion. The method comprises the following steps: acquiring a grayscale image and a depth image containing a target face; the grayscale image is preprocessed, and the image mouth length of the target face is further determined; comparing the mouth length of the image with a reference mouth length corresponding to the target face, and determining a comparison result; based on the comparison result, an accurate fusion region and a rough fusion region are determined, and both the accurate fusion region and the rough fusion region belong to partial regions in the target face; based on the precise fusion region and the rough fusion region, carrying out precision-differentiated image fusion on the preprocessed grayscale image and the preprocessed depth image; and performing expression recognition on the fused face image, and determining the expression of the target face at the moment. Therefore, the accuracy and the stability of facial expression recognition can be improved.

Description

technical field [0001] The present application relates to the technical field of face recognition, in particular, to an expression recognition method and device based on partial image data fusion. Background technique [0002] In the field of human-computer interaction, accurate recognition of human facial expressions can help machines and computers recognize possible human cognition and thinking patterns, thereby accurately understanding human emotions and improving the quality of human-computer interaction. Facial expression data is high-dimensional and complex data, and the data describing facial expressions has a large spatial dimension. [0003] At present, the expression recognition method based on the grayscale image of the face is easily affected by the change of illumination; while the expression recognition method based on the depth image of the face is easily affected by the accuracy of data collection and dynamic changes (such as dynamic changes of facial feature...

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 Applications(China)
IPC IPC(8): G06V40/16G06V10/44G06V10/74G06V10/80G06K9/62
CPCG06F18/22G06F18/253
Inventor 杨华千韦鹏程冯伟邹晓兵
Owner CHONGQING UNIV OF EDUCATION
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products