Image updating process and apparatus based on human face recognition

A face image and image update technology, which is applied in the field of information security, can solve problems that affect the accuracy of face recognition, face recognition processing hardware requirements are high, and ordinary users are difficult to use, so as to reduce requirements and increase accuracy.

Active Publication Date: 2009-07-08
HUAWEI DEVICE CO LTD
View PDF0 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing face recognition technology needs to use high-speed processors to calculate a large number of training samples, so it is mainly used on PCs or large systems, making it difficult for ordinary users to use
[0004] In the process of realizing the present invention, the inventor has found that there are at least the following problems in the prior art: the image of the hum

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
  • Image updating process and apparatus based on human face recognition
  • Image updating process and apparatus based on human face recognition
  • Image updating process and apparatus based on human face recognition

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0024] For example, in the above-mentioned embodiment, the mobile phone contact update picture function can also be automatically selected by the mobile phone without selecting the contact. The implementation method is as follows:

[0025] In step 201, the user's face is photographed, and the face photographed image is obtained, for example, the contact in the mobile phone is photographed through the mobile phone camera.

[0026] In step 202, the feature data of the face photographed image is extracted. The image is stored in a pixel matrix in the mobile phone, which is actually an integer matrix. Perform mathematical singular value calculation on the integer matrix to obtain the feature data and store it in the mobile phone. .

[0027] In step 203, the feature data of the face photographed image is compared with the stored feature data of multiple user face images to obtain the most similar user face image, for example, the singular value feature of the face photographed image Th...

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 method for updating face recognition images and a device. The method comprises the following steps: acquiring a first face image; comparing the consistency between the first face image and a second face image stored; if the first face image and the second face image are identical with each other, the first face image is stored, and the second face image is updated by the first face image. By keeping updating the face images of users, the method ensures that impacts of changes of face outlines on recognition are reduced, and the recognition accuracy is improved.

Description

technical field [0001] The present invention relates to the field of information security, in particular to face recognition technology, and specifically to an image update method and device based on face recognition. Background technique [0002] At present, face recognition technology has been widely used, such as access control systems and camera surveillance systems. Among the existing face recognition technologies, the eigenface technology is the most widely used. This technique is an algebraic statistical method, which constructs the eigenface matrix of the training samples by calculating the eigenvalues ​​and eigenvectors of the face matrix in the training samples. Then, judge which person the face is by comparing the distance relationship between the face to be recognized and the eigenface matrix. [0003] However, the existing face recognition technology needs to use a high-speed processor to calculate a large number of training samples, so it is mainly used on PC...

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
IPC IPC(8): G06K9/00G06K9/62
Inventor 田晓东
Owner HUAWEI DEVICE CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap