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

Method for constructing and training human face identification feature extraction network

A feature extraction and face recognition technology, applied in the field of image recognition, can solve the problem that the deep learning network cannot accurately extract effective features, and cannot accurately identify the original face pictures, etc. The effect of feature extraction capabilities

Inactive Publication Date: 2017-02-01
COMMUNICATION UNIVERSITY OF CHINA
View PDF8 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] In view of this, the technical problem to be solved by the present invention is to provide a method for constructing and training a face recognition feature extraction network, which solves the problem that the existing deep learning network cannot accurately extract effective features, and cannot accurately identify the original face picture. question

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
  • Method for constructing and training human face identification feature extraction network
  • Method for constructing and training human face identification feature extraction network
  • Method for constructing and training human face identification feature extraction network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the spirit of the disclosure of the present invention will be clearly described below with the accompanying drawings and detailed descriptions. Any person skilled in the art will understand the embodiments of the present invention. , when it can be changed and modified by the technology taught in the content of the present invention, it does not depart from the spirit and scope of the content of the present invention.

[0027] The exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention. In addition, elements / members with the same or similar numbers used in the drawings and embodiments are used to represent the same or similar parts.

[0028] As used herein, "first", "second", ... etc. do not refer to a particular sequence or order, nor are they used to limit the prese...

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 a method for constructing and training a human face identification feature extraction network. The method comprises the steps of constructing a feature extraction network and a metric learning dimension reduction network, wherein an output of the feature extraction network is an input of the metric learning dimension reduction network; training the feature extraction network based on all sample sets to output feature sets; screening the feature sets by utilizing semantic sampling to obtain a pure sample set; and training the metric learning dimension reduction network based on the pure sample set. Through a natural human face identification network constructed by the method, the feature representation capability can be improved, so that feature information in data can be fully mined and an original human face picture can be accurately identified.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular to a method for constructing a face recognition network, specifically a method for constructing and training a face recognition feature extraction network. Background technique [0002] Face recognition has always been a hot topic in computer vision. Compared with traditional biometric identification such as iris recognition and fingerprint recognition, face recognition does not need to use special media to collect data, and only the image data or pictures obtained by the most common camera can complete the recognition task. This makes face recognition have a wider range of application scenarios than iris recognition and fingerprint recognition. As a kind of biometric identification, face recognition is mostly used in security, identity authentication and other fields. With the continuous development of society and the continuous advancement of science and techno...

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): G06K9/00
CPCG06V40/168G06V40/172
Inventor 吴晓雨郭天楚杨磊朱贝贝谭笑
Owner COMMUNICATION UNIVERSITY OF CHINA
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com