Face recognition model training method and device and face recognition method and device

A face recognition and model training technology, applied in the field of image processing, can solve the problems of different face image quality, enhancement, and weakening of face features, etc., to achieve good recognition results

Active Publication Date: 2018-06-08
GUOXIN YOUE DATA CO LTD
View PDF6 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the 3D structure of the face, the shadow cast by the light will strengthen or weaken the original face features
In addition, there may be various sources of face images. Due to different acquisition device

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

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0037] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only These are some embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Thus, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without c...

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 face recognition model training method and device and a face recognition method and device. The face recognition model training method comprises the following steps of: inputting a comparison image set into a first neural network and extracting a first feature vector for each comparison image in the comparison image set by using the first neural network; inputting a sourceimage set and a target image set into a second neural network, carrying out feature learning on source images in the source image set and target images in the target image set, and extracting a second feature vector for each source image in the source image set; inputting the second feature vectors into a face classifier to obtain classification results; training the second neural network and theface classifier on the basis of comparison results between the first feature vectors and the corresponding second feature vectors and the classification results; and repeatedly training the second neural network and the face classifier to obtain a face recognition model. The method is capable of effectively recognizing face images with relatively bad quality.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular, to a face recognition model training method and device, and a face recognition method and device. Background technique [0002] Traditional identity authentication methods mainly use identity items (such as keys, ID documents, bank cards, etc.) and identity knowledge (such as user names and passwords) to prove identity. Since such methods require the help of external objects or the memory of the person themselves, once the personal identification items and identification knowledge to prove the identity are stolen or forgotten by the outside world, their identity is easily impersonated or replaced by others. Different from traditional identity authentication methods, biometrics (signature, fingerprint, face, iris, palm print, etc.) have become a popular feature of uniqueness, lifetime invariance, portable, not easy to be lost and fraudulently used, and good anti...

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): G06K9/62G06K9/00
CPCG06V40/172G06F18/2411G06F18/214
Inventor 孙源良段立新刘萌
Owner GUOXIN YOUE DATA 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