Method and system for face sex characteristic extraction

A feature extraction and gender technology, applied in the field of computer vision, can solve the problems of poor robustness, low recognition rate, difficulty in extracting facial gender features, etc., to improve accuracy, reduce computational complexity, and enhance ease of use. and practical effects

Inactive Publication Date: 2016-07-27
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiments of the present invention provide a method and system for extracting facial gender features to solve the existing problems of difficulty in extracting facial gender features, low recognition rate, and poor robustness

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  • Method and system for face sex characteristic extraction
  • Method and system for face sex characteristic extraction
  • Method and system for face sex characteristic extraction

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Embodiment 1

[0021] figure 1 The implementation flow of the face gender feature extraction method provided by Embodiment 1 of the present invention is shown, and the method process is described in detail as follows:

[0022] In step S101, the original face image is preprocessed.

[0023] In the embodiment of the present invention, the collected original face image is preprocessed, and the preprocessing includes but is not limited to:

[0024] Rotating the original face image to a vertical direction;

[0025] Scale processing is performed on the rotated face image so that the distance between the two eyes in the processed face image is constant relative to each face image;

[0026] The scaled face image is trimmed to remove background regions in the face image.

[0027] The preprocessed face image is as figure 2 shown in figure 2 Among them, the top row is the original face image collected, and the bottom row is the preprocessed face image.

[0028] In step S102, feature extraction ...

Embodiment 2

[0092] Figure 4 The composition structure of the face gender feature extraction system provided by the second embodiment of the present invention is shown, and for the convenience of description, only the parts related to the embodiment of the present invention are shown.

[0093] The facial gender feature extraction system can be a software unit, a hardware unit, or a combination of software and hardware built in a terminal device (such as a mobile phone, a tablet computer, a computer, etc.), or it can be integrated into the terminal device as an independent plug-in , or applied to the application system of the terminal device.

[0094] The face gender feature extraction system includes:

[0095] Preprocessing unit 41, used to preprocess the original face image;

[0096] Feature extraction unit 42, for carrying out feature extraction to the preprocessed face image based on the deep convolutional neural network model;

[0097] A gender determination unit 43, configured to ...

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Abstract

The invention is applicable to the computer vision technology field and provides a method and a system for human face sex characteristic extraction. The method comprises steps of performing pre-processing on an original human face image, performing characteristic extraction on the human face image after pre-processing based on a deep convolutional neural network model and determining sex determination according to the extracted characteristics. The invention can effectively improve the accuracy of sex characteristic extraction and reduces the complexity of the operation during the extraction process.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method and system for extracting human face gender features. Background technique [0002] In recent years, face recognition technology has been widely used in fields such as identification, finance, security systems and data identification, while related gender recognition has important practical value but is rarely used. The main reasons for the difficulty are as follows Two aspects: 1) The human face has a strong structural similarity, and the facial composition of different people is similar (all are composed of eyes, mouth, nose and other parts, and these parts are in relatively fixed positions); 2) The face image of the same person will be quite different under different expressions, different light or different viewing angles, etc. These reasons lead to difficulty in extracting face gender features, low recognition rate, and poor robustness. Conten...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 黄珀彬李志锋乔宇
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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