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

Human face recognition model training method and device

A face recognition and training device technology, applied in the field of communication, can solve the problems of face image theft, leakage of user privacy, etc., and achieve the effect of eliminating the risk of leakage

Active Publication Date: 2016-08-17
ADVANCED NEW TECH CO LTD
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, since the face image needs to be uploaded to the cloud computing platform before model training, there will be a problem that the face image will be stolen during the process of uploading the face image to the cloud computing platform, thereby leaking user privacy.

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 model training method and device
  • Human face recognition model training method and device
  • Human face recognition model training method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0040] In the existing technology, the current solution is mainly based on the following two methods to solve the problem of privacy leakage during image transmission:

[0041] First, use the key to encrypt the face image that needs to be uploaded, and then transmit the encrypted face image as public information; after receiving the uploaded encrypted image, the cloud computing platform ...

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 application provides a human face recognition model training method and device. The method comprises: multi-layer neural network training is conducted on the basis of a public human face dataset, and at least one base layer is obtained through training; an image transformation parameter is extracted from the at least one base layer; irreversible fuzzy processing is carried out on a non-public human face dataset according to the extracted image transformation parameter; the non-public human face dataset subjected to the fuzzy processing is uploaded to a server end, and the server end completes training of remaining base layers of the multi-layer neural network. The method can eliminate the risk of leakage during non-public human face data uploading.

Description

technical field [0001] The present application relates to the field of communications, and in particular to a training method and device for a face recognition model. Background technique [0002] Face recognition is a popular field in the field of image recognition. In order to train higher-precision face recognition models, existing training systems require a large number of face images as training samples, and use distributed computing to improve training speed. Therefore, More and more model training tasks have been placed on cloud computing platforms to run. [0003] However, since the face image needs to be uploaded to the cloud computing platform before model training, there will be a problem that the face image will be stolen to leak user privacy during the process of uploading the face image to the cloud computing platform. Contents of the invention [0004] In view of this, the application proposes a training method for a face recognition model, which method inc...

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): G06K9/00G06K9/66
Inventor 李亮
Owner ADVANCED NEW TECH 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com