Face attribute recognition method, device, terminal device, and storage medium

A technology of attribute recognition and terminal equipment, applied in the computer field, can solve the problem of large errors in age estimation and gender detection, and achieve the effect of improving age estimation and gender detection, high accuracy, and solving degradation problems.

Inactive Publication Date: 2019-01-25
XIAMEN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the face feature extraction is greatly affected by the environment, the obvious age estimation and gender detection errors are large under high-brightness and low-brightness conditions

Method used

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  • Face attribute recognition method, device, terminal device, and storage medium
  • Face attribute recognition method, device, terminal device, and storage medium
  • Face attribute recognition method, device, terminal device, and storage medium

Examples

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Comparison scheme
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no. 1 example

[0042] see figure 1 , figure 1 It is a schematic flowchart of a face attribute recognition method provided in the first embodiment of the present invention. The present invention provides a face attribute recognition method, specifically comprising:

[0043] S10. Obtain the current data frame in the video stream.

[0044] In this embodiment, the video stream is composed of consecutive pictures, and each picture is a frame. Simply put, the number of frames is the number of frames of pictures transmitted in 1 second, and it can also be It is understood that the graphics processor can refresh several times per second, usually expressed in fps (Frames Per Second). Each frame is a still image, and displaying frames in rapid succession creates the illusion of motion. In the present embodiment, adopt common CMOS camera to carry out video acquisition, use opencv to extract image from camera, and do tracking test, image resolution adopts CIF format (352*288) 24Bit true color, and l...

no. 2 example

[0064] The second embodiment of the present invention provides a device for identifying human face attributes by a robot, including:

[0065] Obtaining module 10, used to obtain the current data frame in the video stream;

[0066] Capture module 20, is used for capturing human face from described current data frame, and obtains human face region image;

[0067] Extraction module 30, is used for extracting the characteristic information of people's face according to described human face area image; And described characteristic information input convolutional neural network model; Wherein, described convolutional neural network model is based on ResNet architecture;

[0068] The output module 40 is configured to obtain the age and gender corresponding to the face according to the output result of the convolutional neural network model.

[0069] Further, the capture module 20 specifically includes:

[0070] A conversion module for converting the face area image into a grayscale...

no. 3 example

[0079]The third embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processing, when the processor executes the computer program, the present invention is implemented. The face attribute recognition method described in the first embodiment above.

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Abstract

The invention discloses a face attribute recognition method, a device, a terminal device and a storage medium. The method comprises the following steps: obtaining a current data frame in a video stream, capturing a face from the current data frame, and obtaining a face area image. The feature information of human face is extracted from the image of human face region and input into the convolutional neural network model. Wherein the convolution neural network model is based on a ResNet architecture. According to the output result of the convolution neural network model, the age and the sex corresponding to the face are obtained. The invention can reduce the error of age estimation and gender detection when the environmental impact is large.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a face attribute recognition method, device, terminal equipment and storage medium. Background technique [0002] In today's increasingly progressive society, with the development of science and technology, artificial intelligence plays an increasingly important role around us. In order to make human life more convenient, artificial intelligence robots are more and more widely used in life. Face attribute recognition is a major category of artificial intelligence. Age estimation and gender detection in face attribute recognition are important directions of artificial intelligence and computer vision. It has many applications, such as public security evidence collection, arresting criminal suspects, demographics, etc. Age estimation and gender testing are closely related to other biometric and facial attribute recognition, such as ethnic classification, hair color discriminatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/178G06V40/172G06V40/161G06N3/045
Inventor 庄礼鸿郭泽桐
Owner XIAMEN UNIV OF TECH
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