Unlock instant, AI-driven research and patent intelligence for your innovation.

Age estimation method and device

A model and gender technology, applied in the field of computer vision, can solve problems such as low accuracy, achieve the effect of improving accuracy and eliminating inaccurate age estimation

Active Publication Date: 2018-05-18
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD +1
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides an age estimation method and device to solve the problem of low accuracy when estimating the age of a face image in the related art

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
  • Age estimation method and device
  • Age estimation method and device
  • Age estimation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] refer to figure 1 , shows a flow chart of the steps of an embodiment of an age estimation method in the present invention, which may specifically include the following steps:

[0043] Step 101, perform gender training on the gender model according to the face image samples, so that the gender model converges, wherein the gender model includes at least two convolutional layers;

[0044] Wherein, the face image sample includes multiple face images, and each face image is marked with age and gender information. Wherein, the gender model is used to detect the gender of the face image, the gender model may be a deep neural network model, and the gender model includes at least two convolutional layers. In the embodiment of the ...

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 present invention provides an age estimation method and device. The method includes the following steps that: gender training is performed on a gender model according to a face image sample so asto converge the gender model, wherein the gender model comprises at least two convolutional layers; age training is performed on an age model according to the face image sample and the weights of theat least two converged convolutional layers so as to converge the age model, wherein the age model comprises the at least two convolutional layers; and age estimation is performed on an inputted faceimage according to the converged age model. With the age estimation method and device of the invention adopted, the problem of inaccurate age estimation caused by the gender difference of face imagescan be eliminated, and therefore, the accuracy of the age estimation can be improved.

Description

technical field [0001] The present invention relates to the technical field of computer vision, in particular to an age estimation method and device. Background technique [0002] At present, as the age of face images is more and more widely used in the fields of Internet user portraits, accurate advertising pushes, image or video recommendations, etc., the demand for age estimation of face images is also increasing. [0003] At present, the age estimation methods of face images mainly include traditional machine learning methods. Specifically, first design and define artificial features, such as hog (Histogram of Oriented Gradient, histogram of oriented gradient), sift (Scale-Invariant Feature Taransform, Scale-invariant feature transformation) and other features, and then use the method of dimensionality reduction to extract effective features useful for age prediction, and finally use the regression model to detect the age of the face image. [0004] However, the feature...

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): G06K9/00G06K9/62G06V10/764
CPCG06V40/178G06V40/16G06F18/214G06N3/08G06V40/172G06V10/82G06V10/764G06V10/7747G06N3/045G06N20/00G06F18/2148G06F18/2415
Inventor 李宣平
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD