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

Face image quality evaluation method and device

A face image and quality evaluation technology, applied in the field of face image processing, can solve problems such as lack of objectivity

Pending Publication Date: 2021-03-19
广州海格星航信息科技有限公司
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method uses the calculation index set by human experience as the evaluation index, which is not objective.

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 image quality evaluation method and device
  • Face image quality evaluation method and device
  • Face image quality evaluation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] 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 creative efforts fall within the protection scope of the present invention.

[0046] See figure 1 , figure 1 It is a schematic flow diagram of an embodiment of the evaluation method of human face image quality provided by the present invention; as figure 1 Shown, the concrete steps of the evaluation method of human face image quality comprise step 101 to step 104:

[0047] Step 101: Obtain the face image to be evaluated, and determine the category of the face image; the category of the face image includes: front face image and side face im...

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 image quality evaluation method and device, and the method comprises the steps: carrying out the separated processing of face images at different angles according to thevariability of the face images in a monitoring scene; for the front face image, replacing the quality of the front face image with the pixel quality in the key point area formed by the sparse front face key points; for the side face image, replacing the quality of the side face image with the pixel quality in the key point area formed by the dense side face key points; and performing quality evaluation on the face image by calculating the Laplace variance, the gray average value and the brightness ratio difference between the left half face and the right half face in the key point area. By adopting the scheme, the quality of the face image can be evaluated more accurately, the classification accuracy of the face quality is improved, and more high-quality face images are provided for subsequent face recognition application.

Description

technical field [0001] The invention relates to the field of face image processing, in particular to a method and device for evaluating the quality of a face image. Background technique [0002] At present, under the background that hardware computing resources have been greatly improved, with the development of machine learning and deep learning, the recognition accuracy of many mainstream face recognition models on some face data sets can reach an astonishing 99% or more. However, in actual production applications, due to the real-time nature of these models and the limitation of the quality of face images obtained in practical applications, the recognition accuracy of face recognition models is greatly reduced. [0003] In particular, for face recognition in a video surveillance scene, it usually relies on surveillance cameras to continuously shoot crowd areas and obtain video images, and then calculates video frame images through an intelligent face capture system, there...

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
CPCG06V40/168G06V40/172
Inventor 高山刘圣阳秦丹峰秦雷
Owner 广州海格星航信息科技有限公司
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