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

Method of low-resolution face super-resolution and recognition based on prior knowledge of face

A priori knowledge and low-resolution technology, applied in the field of low-resolution face super-resolution and recognition based on facial prior knowledge, can solve the problems of face recognition system performance degradation, low-resolution face images, etc., to improve Model efficiency, effect of improving accuracy

Active Publication Date: 2022-03-29
LINYI UNIVERSITY +1
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention faces the phenomenon of low resolution of human face images in real scenes. In order to solve the problem of performance degradation of current face recognition systems in this situation, an integrated technology of low-resolution human face super-resolution and recognition based on facial prior knowledge is adopted. To achieve face detail enhancement and resolution improvement

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 of low-resolution face super-resolution and recognition based on prior knowledge of face

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0042] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways than described here. Therefore, the protection scope of the present invention is not limited by the specific implementation disclosed below. Example limitations.

[0043] Combine below figure 1 The method of low-resolution human face super-resolution and recognition based on face prior knowledge in the embodiment of the present invention will be described in detail.

...

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 present invention provides a low-resolution face super-resolution and recognition method based on facial prior knowledge, including S1: building a data set; S2: performing face super-resolution to obtain a mapping matrix; S3: constructing Feature extractor, respectively map and to the public space; S4: obtain the corresponding mapping matrix; S5: obtain the prior knowledge of the image, and obtain multiple super-resolution results; S6: respectively map and to the public space, and Assign its category to; S7: finally generate the result of face super-resolution and recognition. Through the technical solution of the present invention, the content of the present invention mainly includes two parts, one is to train the face pair data set composed of low resolution and high resolution; Space to train a nonlinear transformer with the goal of improving the accuracy of low-quality face image recognition.

Description

technical field [0001] The present invention relates to the technical field of pattern recognition, in particular to a low-resolution human face super-resolution and recognition method based on facial prior knowledge. Background technique [0002] At present, face recognition technology has been relatively mature and its application research is very extensive, and it has spread to all aspects of modern social life. However, many face recognition systems work on the premise that the face object belongs to a high-quality image. Therefore, when the face in the real world is a low-resolution image due to various reasons, such as monitoring equipment, distance, etc., the system often exhibits poor performance and is not even recognized. Face super-resolution technology can enhance the resolution of low-resolution face images to generate corresponding high-resolution face images. Therefore, realizing the connection of face super-resolution and face recognition tasks can directly...

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 Patents(China)
IPC IPC(8): G06V40/16G06V10/764G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08G06T3/40
CPCG06T3/4053G06N3/08G06V40/161G06V40/168G06N3/045G06F18/213G06F18/25
Inventor 蹇木伟王芮王星陈吉举雅琨傅德谦张问银董良董波黄振尹义龙
Owner LINYI UNIVERSITY
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