Method for identifying genetic relationship of figures based on self-encoder

A kind of kinship, autoencoder technology, applied in the field of character kinship recognition based on autoencoder, can solve problems such as inability to identify relationships between characters

Inactive Publication Date: 2017-05-24
NAT UNIV OF DEFENSE TECH
View PDF2 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] There is currently no effective solution to the problem that the existing technology ca

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
  • Method for identifying genetic relationship of figures based on self-encoder
  • Method for identifying genetic relationship of figures based on self-encoder
  • Method for identifying genetic relationship of figures based on self-encoder

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be further clearly, completely and detailedly described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0054] Based on the above purpose, according to an embodiment of the present invention, a method for identifying human relationship based on an autoencoder is provided.

[0055] Such as figure 1 As shown, the autoencoder-based personal relationship recognition method provided according to the embodiment of the present invention includes:

[0056] Step S101, inputt...

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 method for identifying a genetic relationship of figures based on a self-encoder. The method comprises the following steps: inputting face images and pre-treating the face images; confirming identity characteristics of figures according to the face images; constructing the self-encoder and forming a self-encoder neural network; repeatedly performing forward propagation and backward propagation on the identity characteristics in the self-encoder neural network; updating weight till a cost function is minimized and a related characteristic of the identity characteristics is acquired; and identifying the genetic relationship between the face images according to the related characteristic. According to the invention, the genetic relationship between the figures can be identified.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method for identifying human relationship based on an autoencoder. Background technique [0002] Research on face images has always been a very important content in the field of computer vision. The reason why the study of face images is important is that the face expresses a lot of personal information and plays a special role in social life. In the field of artificial intelligence, the recognition of human faces by imitating human vision has achieved fruitful results. Nowadays, computer vision can successfully replace humans in many aspects such as face recognition and identity authentication. Recognizing the kinship of people from face images is still a novel and challenging work. [0003] Researching the relationship between people from face images is an emerging topic in recent years. In recent years, several related databases and algorithms have...

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): G06K9/00G06K9/62G06N3/02
CPCG06N3/02G06V40/16G06F18/2155
Inventor 郭金林白亮李珏老松杨
Owner NAT UNIV OF DEFENSE TECH
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