Face recognition method, device and system
A face recognition technology, applied in the field of image processing, can solve the problem of low robustness and achieve the effect of avoiding errors
Active Publication Date: 2019-04-02
北京贝塔科技有限公司
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] In view of this, the present invention provides a face recognition method, device and system to overcome the problem of low robustness of face and skin recognition methods in the prior art
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0077] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0078] see figure 1 , which is a flow chart of a face and skin recognition method provided in an embodiment of the present application, the method comprising:
[0079] Step S101: Obtain the coordinates of facial feature points in the image to be recognized.
[0080] The image to be recognized may be an RGB color space image.
[0081] The facial feature point coordinates include human face outline feature point coordinates and facial feature point coordinates...
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
Login to View More Abstract
The embodiment of the present application provides a face recognition method, device and system. Based on the coordinates of the feature points of the face, the confidence region of the face and skin is determined, and the average RGB color value in the confidence region of the face and skin is used as a reference skin pixel value. . Since the average RGB color value is obtained based on the image to be recognized, there will be no error in the recognition result due to the difference in skin color of the face in the image to be recognized or the difference in skin color of the face caused by different light. Determine whether each pixel belongs to the skin area by calculating the weighted distance of each pixel in the intermediate image converted into the preset color space, and the average RGB color value of the preset color space corresponding to the average RGB color value of the face skin confidence area , the judgment basis is: the greater the weighted distance, the greater the probability that the pixel does not belong to the skin area. The face and skin recognition method provided in the embodiment of the present application has strong robustness.
Description
technical field [0001] This application relates to the technical field of image processing, and more specifically relates to face recognition methods, devices and systems. Background technique [0002] In various image processing and computer vision applications for portraits, such as automatic portrait whitening, automatic freckle removal, pornographic image detection, etc., all rely on accurate face skin recognition methods. [0003] The current face and skin recognition method is based on prior statistical knowledge of skin color. The method based on prior statistical knowledge of skin color is to use a certain skin color sample to count the skin color distribution probability of the skin color sample in a certain color space, and use the obtained probability distribution Graph that calculates the probability that the current color is a skin region. This type of method is fast, but the accuracy is poor, and it is difficult to obtain accurate skin detection results for im...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/46
CPCG06V40/162G06V40/171G06V10/255G06V10/56
Inventor 张勇何茜
Owner 北京贝塔科技有限公司