Method for face detection based on features of skin colors

A face detection and skin color feature technology, which is applied in the field of face detection based on skin color features, can solve the problems of complex operation, long time and poor real-time performance of the face detection algorithm, and achieves simple and easy-to-understand algorithm and fast detection speed. , the effect of improving the operation speed

Inactive Publication Date: 2010-05-12
青岛朗讯科技通讯设备有限公司
View PDF0 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problems of complex operation, long time and poor real-time performance of the existing face detection algorithm, the present invention provides a face detection method based on skin color features, and the detection and positioning of face images can be realized through a simple processing process

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 face detection based on features of skin colors
  • Method for face detection based on features of skin colors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Embodiment one, see figure 1 As shown, the face detection method based on the skin color feature proposed in this embodiment specifically includes the following steps:

[0044] S101, extract face image data;

[0045] S102. Preprocessing the extracted face image;

[0046] Before the face area detection based on the skin color feature, the face image should be preprocessed first. When the light source changes, the brightness, chromaticity position and range of the image will change, so it is necessary to perform color balance on the image with color shift to eliminate the influence of the light source color change on the detection of the face area; then, adjust the image's The intensity of the three components of red, green, and blue restores the original color characteristics of the image scene. Wherein, the specific process of performing color balance on the face image includes the following steps:

[0047] (1) Calculate the mean value and the total mean value of th...

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 face detection based on the features of skin colors. The method comprises the following steps: (1) extracting the data of a face image; (2) carrying out the color balance on the face image; (3) carrying out the color space transformation; (4) selecting the race to be detected, so as to extract the information distribution range of the skin color of the corresponding race; (5) judging whether the three-component of each pixel point in the face image is in the information distribution range of the skin color, if so, setting the pixel point as 1 and if not, setting the pixel point as 0, so as to generate a binary image; and (6) carrying out the morphological processing on the binary image. The method for face detection based on the features of skin colors of the invention is rapid and direct-viewing, is in accordance with the public perceptual knowledge and is not influenced by the shape and size of the face; the algorithm is simple and easy-to-understand, compared with the conventional algorithm for face detection based on the grey-level features, the algorithm can greatly increase the operation speed, therefore, the invention is particularly suitable for systems requiring high real-time performance.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a face detection technology based on skin color features. Background technique [0002] Face recognition technology is a type of biometric authentication. With the rapid development of artificial intelligence and e-commerce in recent years, automatic face recognition technology has become the most potential biometric technology and biometric authentication method. Automatic face recognition technology is a technology that uses computers to analyze face images, and then extract effective facial information from them and use them to identify the person's identity. It involves pattern recognition, graphics and image processing, computer vision, physiology, psychology and cognition and many other disciplines, and is closely related to other biometric identification methods and computer human-computer perception interaction research fields. Compared with other b...

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): G06K9/00G06T7/40
Inventor 庞珊珊
Owner 青岛朗讯科技通讯设备有限公司
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