Age transformation method and device of face image

A face image and transformation device technology, which is applied in the age transformation method and device field of face images, can solve problems such as inability to model face images, and achieve the effect of improving the accuracy rate

Inactive Publication Date: 2018-03-13
ZTE CORP
View PDF0 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and device for age transformation of human face images, which solves the problem in the prior art that it is impossible to accurately model human face images with large age changes

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 transformation method and device of face image
  • Age transformation method and device of face image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0054] Such as figure 1 As shown, an embodiment of the present invention provides a method for age conversion of a face image, including:

[0055] Step 11: Acquire age-related age noise images in each face image according to face images corresponding to multiple people in multiple different age groups;

[0056] Step 12, construct multiple neural network models based on multiple age noise images; wherein each neural network model is used to convert age noise images of one age group into age noise images of another age group;

[0057] Step 13, acquiring the first face image of the target person in the first age group;

[0058] Step 14: Transform the first face image according to the neural network model to obtain a second face image of the target...

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 transformation method and device of a face image. The age transformation method includes: acquiring, according to face images respectively corresponding to a plurality ofcharacters in a plurality of different age stages, an age noise image which is in each face image and related to age; constructing a plurality of neural network models according to the plurality of age noise images, wherein each neural network model is used for transforming the age noise images of one age stage into age noise images of another age stage; acquiring the first face image of a targetcharacter in a first age stage; and transforming the first face image according to the neural network model to obtain a second face image of the target character in a second age stage. According to the embodiment of the invention, face images with large age changes can be precisely modeled, and a correct rate of face recognition can be increased.

Description

Technical field [0001] The present invention relates to the field of communication technology, in particular to a method and device for age conversion of face images. Background technique [0002] Face recognition is a widely researched and relatively mature technology. It has been widely used in various real-life scenarios, such as: verifying driver's license, visa, ID card on the face; security anti-terrorism alarm, boarding, stadium audience scanning; Park monitoring, street monitoring, grid monitoring, entrance monitoring, etc.; law enforcement suspect identification, deception identification, etc. Take public security applications as an example. When investigating cases and handling affairs, public security departments often encounter some unknown persons, such as lost old people, children, suspects who refuse to explain their identity, and unclaimed bodies. At this time, traditional methods often cannot solve the problem. Use the face retrieval system to input the target ...

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): G06K9/00
CPCG06V40/173G06V40/178G06V40/168
Inventor 王雨刘志军贺镇海陈正江杨斌
Owner ZTE CORP
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