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Face feature-based gender classifying method and device

A technology of facial features and gender, applied in the field of face recognition

Inactive Publication Date: 2018-04-24
深圳市车顶传媒有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, the method of describing gender characteristics is difficult to guarantee the technical problem of robustness under changing conditions such as illumination, expression, posture, etc.

Method used

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  • Face feature-based gender classifying method and device
  • Face feature-based gender classifying method and device

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Experimental program
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Effect test

Embodiment 1

[0029] figure 1 It is a schematic flowchart of a gender classification method based on facial features in an embodiment of the present invention. Such as figure 1 As shown, the method includes:

[0030] Step 10: Preprocessing the face image according to the eye positioning coordinates;

[0031] Further, the preprocessing includes: face detection, face image grayscale and face image normalization, wherein, the face image grayscale is to convert the RGB image into a YUV format, and then directly take the Y value, the formula is Gray=Y=0.299×R+0.587×G+0.114×B, Y is the brightness information of the image; normalization of the face image is to transform the input face image into a uniform structure, and the face is corrected to a uniform size.

[0032] Further, the method also includes: the face coordinate transformation formula is Among them, (lx, ly) left eye coordinates, (rx, ry) right eye coordinates, (x, y) are original image coordinates, (x′, y′) are transformed coordin...

Embodiment 2

[0106] Based on the same inventive idea, such as image 3 As shown, the embodiment of the present application also provides a gender classification device based on facial features, the device comprising:

[0107] The first preprocessing unit 11, the first preprocessing unit 11 is used to preprocess the face image according to the eye positioning coordinates;

[0108] The first filtering unit 12, the first filtering unit 12 is used to perform image scale scaling on the face image according to the original size, one quarter and one sixteenth of the original size to form a multi-resolution Gaussian pyramid, and respectively Perform Gaussian filtering;

[0109] The first obtaining unit 13, the first obtaining unit 13 is used to perform Gabor wavelet transform on each of the human face images in the Gaussian pyramid of the resolution according to different scales and directions, to obtain a Gabor human face image;

[0110] The second obtaining unit 14, the second obtaining unit 14 ...

Embodiment 3

[0126] Based on the same inventive concept as the method for gender recognition and classification based on facial features in the foregoing embodiments, the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the foregoing The steps of any method of the gender recognition and classification method based on facial features.

[0127] Among them, in Figure 4 In, bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 will include one or more processors represented by processor 302 and various types of memory represented by memory 304 circuits linked together. The bus 300 may also link together various other circuits, such as peripherals, voltage regulators, and power management circuits, etc., which are well known in the art and thus will not be further described herein. The bus interface 306 provides an interfac...

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Abstract

The invention discloses a face feature-based gender classifying method and a face feature-based gender classifying device. The face feature-based gender classifying method comprises the following steps: preprocessing a face image based on eye positioning coordinates; performing image scaling on the face image to form a multi-resolution Gaussian pyramid; performing Gabor wavelet transform for different scales and directions; performing local binary pattern transformation on the Gabor face image, and equably dividing the face image in horizontal and vertical directions; extracting histogram dataof each region of the Gabor local binary pattern face image; acquiring sample data with male and female tags in multi-resolution local Gabor binary pattern MLGBP features, and reducing the dimensionof a central connecting line for a feature vector of each divided region; training in a gender classifying model based on a support vector machine to obtain the gender classifying model; inputting thefeatures into the gender classifying model to obtain an analysis result.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a gender classification method and device based on face features. Background technique [0002] Gender classification based on images is a complex and challenging two-class pattern classification problem, because the human brain can identify the gender mechanism of people in images is rarely studied deeply, gender classification based on image features is due to human-computer interaction, such as in the population In statistics, video surveillance and machine vision, there are potential applications that attract the attention of many researchers. For this problem, the most challenging thing is how to design an excellent image feature extraction algorithm for gender classification. An important issue in the field of pattern classification is how to find an excellent feature extraction method. In general, different feature extraction methods are often suitable for diffe...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/165G06V40/172
Inventor 纪政
Owner 深圳市车顶传媒有限公司
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