Rapid detection method of face in color image under complex background

A technology with complex backgrounds and color images, applied in the field of face recognition, can solve the problems of overall algorithm performance degradation, algorithm complexity, and missing faces

Inactive Publication Date: 2010-01-20
NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
View PDF0 Cites 61 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of method has the following problems: (1) Usually, the skin color mixed Gaussian model or ellipse model is used, regardless of whether it is a skin color pixel or not, the complex transformation and determination of the color space must be performed, resulting in a large amount of calculation during skin color segmentation, which affect...

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 detection method of face in color image under complex background
  • Rapid detection method of face in color image under complex background
  • Rapid detection method of face in color image under complex background

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0127] according to Figure 1-7 As shown in Fig. 1, a fast detection method for color images with complex backgrounds, when implementing a face detection system, it should first collect enough skin color samples, and establish a skin color mixture composed of RGB and YCbCr two color spaces. model; then collect enough face samples to train a face detector. Then determine the skin color pixels in the image according to the skin color mixture model, and then quickly select the face candidate area according to the skin color pixel ratio of the sub-window, and use the trained detector to detect the face candidate area to quickly determine the existing face and its position and other information. Finally, using the constraints of the spatial position and geometric relationship of the face, false alarms are suppressed as much as possible, the detection rate is improved, and the false alarm rate of the detection system is reduced. The realization scheme of the whole system is as fol...

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 relates to the technical field of face recognition, in particular to a rapid detection method of a face in a high-resolution color image under a complex background. The invention comprises the following steps: building a face skin color mixed model which is composed of two color space restrictions of RGB and YCbCr according to a large amount of acquired skin color sample data to determine the skin color pixel; rapidly skipping non-face regions by adopting a whole skin color pixel ratio to improve the location efficiency of a face candidate region; then using the improved face rapid detection algorithm which is based on forward characteristic selection to realize face preliminary judging of the face candidate region; and finally utilizing a false alarm restraining method which is based on space restriction and geometric restriction to further lower false detection rate and complete face detection. The invention can realize rapid location of a plurality of frontal faces in images at a high detection rate under the condition of low false alarm rate; the good performances of the invention are proved by the results of the test set of Bao open database and a plurality of video frequencies and high resolution color images.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a rapid face detection method of a high-resolution color image under a complex background. Background technique [0002] Face detection means that for any given image, a certain strategy is used to search it to determine whether there is a human face in it, and if there is, further determine the position, size and posture of the human face. It is currently widely used in systems such as face recognition, video surveillance, image retrieval, and human-machine interface. Face detection is a complex and challenging pattern detection problem. There are two main difficulties. On the one hand, it is caused by the internal changes of the face: (1) The face has quite complex detail changes, different appearances Such as face shape, skin color, etc., different expressions such as opening and closing of eyes and mouth, etc.; (2) occlusion of human face, such as glasses, hair and ...

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
IPC IPC(8): G06K9/00G06K9/62
Inventor 王新余陈玺李恒邵宏峰
Owner NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
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