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

Feature selection method and device

A feature subset and feature vector technology, applied in the field of image processing, can solve the problem of no feature selection method.

Active Publication Date: 2016-06-08
济南博观智能科技有限公司
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The feature selection process is an important preprocessing process of face recognition technology, but currently there is no effective feature selection method

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
  • Feature selection method and device
  • Feature selection method and device
  • Feature selection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The terminology used in this application is for the purpose of describing specific embodiments only, not to limit the application. As used in this application and the claims, the singular forms "a", "the" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.

[0070] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the present application, first information may also be called second information, and similarly, second information may also be called first information. Dependin...

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 provides a feature selection method and device. The method comprises the steps that M features are extracted from an acquired image; screening of the M features is performed by utilizing a filtering model algorithm so that N features are obtained; the N features are searched by utilizing a first packaging model algorithm so that a first feature subset is obtained, and the N features are searched by utilizing a second packaging model algorithm so that a second feature subset is obtained; and the first feature subset and the second feature subset are reorganized so that a third feature subset including K features is obtained, and the optimal feature subset of the image is selected from the first feature subset, the second feature subset and the third feature subset With application of the technical scheme, the most effective features can be selected from mass features so that the optimal feature subset can be obtained, computation complexity can be reduced, classification precision and classification performance of face recognition can be enhanced, face recognition capacity can be improved, face recognition rate can be enhanced and information security can be enhanced.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a feature selection method and device. Background technique [0002] With the rapid development of information technology, information security has become more and more important. The traditional identification technology relying on the certificate number can no longer meet people's needs. Face recognition technology extracts the features of the face, and then performs identity recognition and verification based on these features. It is safe, convenient, and not easy to be stolen, so it has been widely used, especially in unit attendance, entrance and exit inspections, and criminal investigations. , information security and other fields, face recognition technology has broad application prospects. [0003] In a video surveillance system, after the image processing device obtains the image, it can extract the features of the face from the image, and use these fea...

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): G06K9/46G06K9/00
CPCG06V40/168G06V10/464
Inventor 王飞杨治昆
Owner 济南博观智能科技有限公司
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