Age prediction method and device, computer equipment and readable storage medium

A prediction method and feature map technology, applied in the field of face image recognition, can solve the problems of lack of stability and low accuracy of age prediction results, and achieve the effect of solving stability

Pending Publication Date: 2022-04-22
深圳数联天下智能科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present application provides an age prediction method, device, computer equipment and computer-readable storage medium to solve the technical problems of low accuracy and lack of stability in the results of age prediction in the existing age prediction technology

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
  • Age prediction method and device, computer equipment and readable storage medium
  • Age prediction method and device, computer equipment and readable storage medium
  • Age prediction method and device, computer equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] 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.

[0038] The technical solution of the present application can be applied to various scenes of face recognition, specifically, the technical solution of the present application is suitable for predicting the age of a corresponding face by recognizing a face image in a face recognition scene. In practical applications, the face image of the scene may be recognized by a face age recognition model with an age prediction function, so as to determine the age of the face corresponding to the face image.

[0039] In order to facilitate the understanding of the technical solution of this application, the face age recognition model in this application is firstly introduced. Such as figure 1 As shown, the age recognition model in this application includes two channels, namely a three-dimensional feature extrac...

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 age prediction method, and the method comprises the steps: obtaining a plurality of face images of a target user, and forming an input image group; inputting the input image group into a pre-established first feature extraction model for spatial feature extraction to obtain a first feature map; inputting one face image of the input image group into a pre-established second feature extraction model for age feature extraction to obtain a second feature map; performing feature fusion on the first feature map and the second feature map to obtain a target feature map; and performing age prediction based on the target feature map to obtain the face age of the target user. According to the technical scheme, the recognition precision of the face age recognition model can be improved.

Description

technical field [0001] The present application relates to the field of face image recognition, in particular to an age prediction method, device, computer equipment and readable storage medium. Background technique [0002] Face images often contain a lot of facial feature information, among which age, as a very important feature information, has been widely used in the field of face recognition, especially on the mobile APP side, which is actually a challenging task for face age prediction. Task, each face image grows with age, the aging of the face is actually a slow process, different people at the same age stage, there are some similar features, but the face changes in the existing technology In the model, age is usually used as a separate label information. In the model training process, it is based on statistical methods. Whether it is based on regression or classification methods, a one-to-one correspondence between face images and ages is established, and the learnin...

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): G06V40/16G06V10/77G06V10/774G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/213G06F18/253G06F18/214
Inventor 陈仿雄
Owner 深圳数联天下智能科技有限公司
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