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

A robust face recognition method and system with invariant face attributes

A face recognition and attribute recognition technology, which is applied in the field of face recognition methods and systems with invariant and robust face attributes, can solve problems such as combination changes and changes, and achieve the effect of improving robustness and high robustness.

Active Publication Date: 2022-05-03
HUBEI UNIV OF SCI & TECH
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

That is, there is currently no method that can simultaneously solve the problem of face illumination, posture, expression and resolution changes and their combination 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
  • A robust face recognition method and system with invariant face attributes
  • A robust face recognition method and system with invariant face attributes
  • A robust face recognition method and system with invariant face attributes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, 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 making creative efforts belong to the protection scope of the present invention.

[0041] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] refer to figure 2 , the present invention provides a face recognition system with invariant and robust face attributes, comprising a face depth feature extraction module, a face attribute dictionary constr...

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 discloses a face recognition method and system with invariant and robust face attributes, comprising the following steps: S1, extracting face features; S2, estimating face attributes; S3, constructing and selecting a face attribute sub-dictionary; S4 , attribute unchanged face feature extraction; S5, face classification and recognition; the face depth feature extraction module in the system is connected with the face attribute recognition module and the face attribute dictionary construction module respectively, and the face attribute recognition module is connected with the face attribute successively The sub-dictionary selection module, the face attribute invariant feature extraction module, the face classification recognition module, and the face attribute sub-dictionary selection module are connected with the face attribute sub-dictionary selection module through the attribute over-complete dictionary. The invention can solve the face recognition under complex environments such as simultaneous changes in illumination, posture, expression, occlusion, and resolution of the face and their combined changes, and keeps the attributes of the face unchanged, with high robustness.

Description

technical field [0001] The invention relates to the field of image processing and pattern recognition, in particular to a face recognition method and system with invariant face attributes and robustness. Background technique [0002] After more than half a century of development, face recognition technology has made substantial progress and has reached the application level in a controlled environment. However, in practical applications, especially in extremely complex environments, it is found that it is still not perfect, and it is easily disturbed by comprehensive factors such as face lighting, posture, expression, occlusion, age and plastic surgery. For example, during the prevention and control of the new coronavirus epidemic, in order to adopt intelligent prevention and control measures, face detection and face recognition technology can be used to eliminate interference during remote body temperature screening, so that the system can only detect the forehead part of t...

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): G06V40/16G06V10/774G06V10/764G06V10/74G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/168G06V40/172G06N3/045G06F18/2411G06F18/22G06F18/24147G06F18/24155G06F18/24323G06F18/214
Inventor 廖海斌
Owner HUBEI UNIV OF SCI & TECH
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