Human face recognition method based on multi-camera model

A face recognition and multi-camera technology, applied in the field of face recognition, can solve the problems of low image resolution and system recognition rate decline

Inactive Publication Date: 2017-03-22
SHENZHEN Y& D ELECTRONICS CO LTD
View PDF4 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the user does not cooperate and the image acquisition is not ideal (such as poor light

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
  • Human face recognition method based on multi-camera model

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0023] In order to make it easy to understand the technical problems solved by the present invention, the technical solutions adopted, and the technical effects achieved, the specific embodiments of the present invention will be further described below in conjunction with specific drawings.

[0024] A face recognition method based on a multi-camera model includes the following steps:

[0025] 1. Obtain information from multiple cameras at once;

[0026] 2. Face detection and training;

[0027] 3. Feature storage;

[0028] 4. Face database (structured data model);

[0029] 5. The second multi-camera information acquisition;

[0030] 6. Acquisition of database related information;

[0031] 7. Two-layer heterogeneous deep neural network algorithm comparison.

[0032] The invention is based on multi-camera (4 cameras) information fusion technology and secondary approximation real-time image face comparison technology. Without changing the existing gates of the station, when passengers pass thr...

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 human face recognition method based on a multi-camera model. The method comprises the steps of 1 first multi-camera information acquisition, 2 human face detection and training, 3 feature storage, 4 human face (structural data mode), 5 secondary multi-camera information acquisition, 6 database-related information acquisition and 7 double-layer heterogeneous depth neural network algorithm comparison. According to the invention, a secondary multi-camera information acquisition technology is used; a double-layer heterogeneous depth neural network algorithm comparison technology is used; the problem that an identity card photo stored in an identity card chip has a small pixel in a human face area, is blurred, is generally a photo of years before, and greatly differs from a photo collected in the field is solved; the problem that a human face has many shelters, such as beards, glasses, hats and the like, is solved; the problem that the environmental light intensity and the observation angle of the human face are changed is solved; the problem that the human face is difficultly recognized is solved; and the provided human face recognition method is economic, real-time and accurate.

Description

technical field [0001] The invention relates to a face recognition technology, more specifically to a face recognition method based on a multi-camera model. Background technique [0002] Face recognition technology is an interdisciplinary and challenging frontier topic. It has developed rapidly and achieved fruitful research results. Non-linear modeling methods, statistical theory, learning technology based on Boosting, and face recognition based on 3D models Modeling and identification methods have gradually become the development trend of technology. Existing face recognition systems can achieve satisfactory results with the cooperation of users and ideal image acquisition conditions. However, when the user does not cooperate and the image acquisition is not ideal (such as poor lighting, occlusion, and low image resolution), the recognition rate of the existing system suddenly drops. Therefore, there are still many challenging problems to be solved in order to apply face...

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): G06K9/00
CPCG06V40/166G06V40/16
Inventor 戚建淮高洪朋
Owner SHENZHEN Y& D ELECTRONICS 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