Rapid face detection method based on combination between skin color segmentation and AdaBoost

A face detection and skin color segmentation technology, applied in the field of face detection, can solve the problems of fast detection speed, average effect, and slow speed

Active Publication Date: 2014-05-07
SOUTHEAST UNIV
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method of face detection based on skin color segmentation is fast but the effect is average; on the contrary, the method based on AdaBoost face detection is good but slow

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
  • Rapid face detection method based on combination between skin color segmentation and AdaBoost
  • Rapid face detection method based on combination between skin color segmentation and AdaBoost
  • Rapid face detection method based on combination between skin color segmentation and AdaBoost

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention will be described in further detail below in conjunction with the embodiments and the accompanying drawings.

[0050] The fast face detection method combined based on skin color segmentation and AdaBoost of the present invention, comprises the following steps:

[0051] Step 1: Build a Gaussian pyramid: expand the color image I to be detected in the RGB color space into an N-layer Gaussian pyramid G(I)={G 0 ,G 1 ,...,G N-1}, where N≥2 and N is a natural number, the original image is continuously down-sampled to obtain a series of images with different resolutions, and the width and height of the new image obtained each time are twice the width and height of the previous image One-third, the Gaussian pyramid is formed by arranging this series of images from large to small. The bottom layer of the Gaussian pyramid is numbered 0, the top layer is numbered N-1, G 0 The bottom image of the Gaussian pyramid is the original color image I, the image size...

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 rapid face detection method based on combination between skin color segmentation and AdaBoost. The rapid face detection method based on the combination between skin color segmentation and the AdaBoost comprises the following steps that (1) an N-layer Gaussian pyramid is built; (2) the layer number Ev is determined, wherein skin color segmentation face detection is carried out on the Evth layer in the Gaussian pyramid; (3) skin color segmentation face detection is carried out on an image of the Evth layer of the Gaussian pyramid, and rectangular face candidate areas are calibrated; (4) the layer number Ev' is determined, wherein AdaBoost face detection is carried out on the Ev'th layer in the Gaussian pyramid; (5) AdaBoost face detection is carried out on an image of the Ev'th layer of the Gaussian pyramid; (6) a face area is obtained. According to the rapid face detection method based on the combination between skin color segmentation and the AdaBoost, skin color segmentation and the AdaBoost are combined, the Gaussian pyramid is introduced, the Gaussian pyramid is created for an image to be detected, and then skin color segmentation face detection and AdaBoost face detection are carried out on the selected appropriate layers of the Gaussian pyramid respectively, so that face detection efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the field of pattern recognition and relates to a face detection method. Background technique [0002] Face recognition technology is one of the key technologies of biometric identification. Its research content is how to use computers to analyze face images, extract effective identification information from them, and complete identity identification. Face detection is the first link of the face recognition system, and it is also the basis for subsequent feature extraction, feature classification and other links. After years of development, a large number of face detection algorithms have emerged, the representative ones are the face detection method based on skin color segmentation and the face detection method based on AdaBoost. The method of face detection based on skin color segmentation is fast but the effect is average; on the contrary, the method based on AdaBoost face detection is good but slow. This patent proposes a...

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): G06K9/46G06T7/00
Inventor 路小波季赛平曾维理陆立颖刘春雪徐千州
Owner SOUTHEAST UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap