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

Face detection method based on child cross-age group face recognition technology

A face recognition and face detection technology, applied in the field of face detection, can solve the problem of unable to quickly and effectively recognize cross-age faces, and achieve the effect of fast and effective cross-age face recognition

Pending Publication Date: 2020-12-11
安徽兰臣信息科技有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the above-mentioned shortcomings in the prior art, the present invention provides a face detection method based on children's cross-age face recognition technology, which can effectively overcome the inability to quickly and effectively recognize cross-age faces in the prior art Defects

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
  • Face detection method based on child cross-age group face recognition technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0031] A face detection method based on children's cross-age face recognition technology, such as figure 1 As shown, obtain the training face database and the age face database, extract the basic features of the face in the training face database, and input the two-layer heterogeneous deep neural network for training;

[0032] Extract the face features of the ...

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 relates to a face detection method, in particular to a face detection method based on a child cross-age face recognition technology, which comprises the following steps: acquiring a training face database and an age face database, extracting face basic features in the training face database, and inputting the face basic features into a double-layer heterogeneous deep neural network for training; and extracting face features of the same person at different ages and ages corresponding to the face features in the age face database, inputting the face features and the ages corresponding to the face features into a double-layer heterogeneous deep neural network for training to obtain a spatial mapping relationship of the face features at different ages, and processing at least twodifferent to-be-recognized face images to obtain a face recognition result; inputting the to-be-recognized face image into the trained double-layer heterogeneous deep neural network, and judging whether the face images are the same person or not by the double-layer heterogeneous deep neural network according to the similarity of the face features extracted from the to-be-recognized face image; according to the technical scheme provided by the invention, the defect that the cross-age face cannot be quickly and effectively recognized in the prior art can be effectively overcome.

Description

technical field [0001] The invention relates to a face detection method, in particular to a face detection method based on children's face recognition technology across age groups. Background technique [0002] As an important biometric identification technology, face recognition has become a research hotspot in the fields of image processing and pattern recognition, and has also been widely used in public security, human-computer interaction and identity authentication. [0003] In the practical application of face recognition, the face image to be recognized is affected by various factors, among which the change of the face image due to age changes is particularly prominent. Although the accuracy of general face recognition has been improved with the development of deep learning technology, face recognition across ages is still very challenging. Nevertheless, due to its irreplaceable value in many scenarios, such as finding lost children, long-term wanted criminals, face ...

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
IPC IPC(8): G06K9/00G06N3/04G06N3/08G06K9/62
CPCG06N3/08G06V40/178G06V40/172G06N3/045G06F18/22G06F18/24G06F18/214
Inventor 张云龙张云凤
Owner 安徽兰臣信息科技有限公司
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