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

Method and device for detecting image quality

A technology for detecting images and images to be detected, which is applied in the computer field and can solve problems such as system crashes and recognition errors

Active Publication Date: 2019-06-28
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of face recognition, if the quality of the image including the face is not up to standard (for example, multiple parts of the face are blocked, etc.), it may cause recognition errors, or abnormal situations such as system crashes

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 and device for detecting image quality
  • Method and device for detecting image quality
  • Method and device for detecting image quality

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0042] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0043] figure 1 An exemplary system architecture 100 of an embodiment of the method for detecting image quality or the device for detecting image quality of the present application can be applied.

[0044] Such as figure 1 As shown, the system architecture 100 may include ...

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 embodiment of the present application discloses a method and a device for detecting image quality. A specific embodiment of the method includes: acquiring the image to be detected and the face area information used to indicate the face area in the image to be detected obtained after performing face detection on the image to be detected in advance; Region information, extract the face image from the image to be detected; input the face image into the pre-trained convolutional neural network, and obtain that each pixel included in the face image belongs to each pixel in the preset category identification set The probability of the category indicated by each category identifier; input the face image into the pre-trained face key point positioning model to obtain the coordinates of each key point of the face included in the face image; based on the probability and the coordinates, determine The probability that the face image is blocked; based on the probability of being blocked, it is determined whether the quality of the face image is qualified. This embodiment improves the efficiency of image quality detection.

Description

technical field [0001] The present application relates to the field of computer technology, specifically to the field of Internet technology, and in particular to a method and device for detecting image quality. Background technique [0002] Face recognition has many application scenarios, such as face payment, face authentication, face beautification and so on. During the face recognition process, if the image quality including the face is unqualified (for example, multiple parts of the face are blocked, etc.), it may lead to recognition errors, or abnormal situations such as system crashes. If the quality of the image including the face is detected first before the face recognition is performed, it is possible to avoid performing a subsequent face recognition process on the image with unqualified quality. This can improve the efficiency of face recognition. Therefore, it is particularly important to perform quality inspection on images including human faces. Contents o...

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): G06K9/00G06T7/00G06N3/04G06N3/08G06V10/764
CPCG06T7/0002G06T2207/20084G06T2207/20081G06T2207/30168G06V40/161G06V40/168G06N3/084G06V40/162G06V10/993G06V10/82G06V10/764G06N3/048G06N3/045G06N7/00G06N20/00G06F18/214
Inventor 杜康
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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