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Human face identification 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: 2017-02-15
北京贝塔科技有限公司
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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

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  • Human face identification method, device and system
  • Human face identification method, device and system

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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...

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Abstract

An embodiment of the application provides a human face identification method, device and system. Based on coordinates of human face characteristic points, a human face skin confidence area is determined, and an average RGB color value of the human face skin confidence area is used as a reference skin pixel value. Because the average RGB color value is obtained based on an image to be identified, a phenomenon that an identification result error is caused due to human face skin color difference in the image to be identified or human face skin color difference caused by light ray difference can be prevented. Weighted distance between all pixel points in a middle image which is converted into a preset color space and a middle average color of the preset color space corresponding to the average RGB color value of the human face skin confidence area is calculated, and whether all the pixel points belong to a skin area can be determined based on a determining criterion that a probability that the pixel points do not belong to the skin area is proportionate to the weighted distance. The human face identification method provided in the embodiment of the application is high in 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

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Application Information

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Patent Type & Authority Applications(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
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