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

Face image preferential system and processing method

A face image and image technology, applied in the field of face recognition processing, can solve the problem of not considering the amount of information feature extraction, and achieve the effect of improving the recognition accuracy and good promotion.

Active Publication Date: 2016-01-06
桂林远望智能通信科技有限公司
View PDF5 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These are only part of the image selection, and the amount of information and whether it is convenient for feature extraction are not considered.

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 preferential system and processing method
  • Face image preferential system and processing method
  • Face image preferential system and processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0050] Aiming at the uneven amount of input image information for face recognition, the present invention proposes a multi-parameter image selection scoring mechanism CPEF (CompositeParametersEvaluateFace).

[0051] like figure 1 As shown, a human face image selection system includes a rotation calculation module 1, an image quality calculation module 2, a human face state judgment module 3 and a score calculation module 4,

[0052]The rotation calculation module 1 is used to mark a plurality of feature points of the face in each face image according to the ASM algorithm to locate the eyes and nose point of the face, and an inverted triangle is formed by three points of the eyes and the nose point , and calculate t...

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 relates to a face image preferential system. The system comprises a rotation calculation module for obtaining a rotation degree of a face in each face image, an image quality calculation module for obtaining the definition and face face contour quantity of each face image, a face state judgment module for judging whether two eyes in each face image are opened or not and judging whether a mouth in each face image is shut up or not, and a score calculation module for obtaining value sequencing of each face image. The present invention further relates to a face image preferential processing method. The system and the method of the present invention improves the identification accuracy of face images, can be used for excluding and selecting an optimal face figure, and have relatively good generalization.

Description

technical field [0001] The invention relates to the technical field of face recognition processing, in particular to a face image selection system and processing method. Background technique [0002] Face recognition is one of the active research directions in the field of pattern recognition. The traditional process is to obtain a group of face images of a single person in a video of about 10 seconds, and bring them into the later stage of face recognition. Face recognition uses a large number of feature extraction methods, so the amount of information in the image will affect the recognition effect. At present, the main research in this field is the quality of the image itself, such as the full reference type, partial reference type, no reference type, etc. in objective quality evaluation. These are just a part of image selection, and the amount of information and whether it is convenient for feature extraction are not considered. Contents of the invention [0003] The...

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
CPCG06V40/165G06V40/171G06V40/172
Inventor 蔡晓东王迪甘凯今杨超赵勤鲁陈超村王丽娟吕璐刘馨婷宋宗涛
Owner 桂林远望智能通信科技有限公司
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