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Method for detecting quality of human face image

A face image and quality technology, applied in the field of face recognition, can solve problems such as system failure, system matching error, and use

Inactive Publication Date: 2012-08-22
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Low-quality pictures may be the main cause of system matching errors, and directly cause many systems to be unable to be used in practice

Method used

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  • Method for detecting quality of human face image
  • Method for detecting quality of human face image
  • Method for detecting quality of human face image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] This embodiment realizes the quality detection to face image, comprises the following steps:

[0061] a) For the original face image P( image 3 a) Do LBP processing to get the LBP image LBP(P)( image 3 b);

[0062] b) Obtain the histogram H of the left and right faces from the LBP(P) l ( image 3 c) and H R ( image 3 d), calculate χ 2 ( H l , H r ) = Σ i ( H i l - H i r ) 2 H i l + H ...

Embodiment 2

[0071] This embodiment carries out quality detection to the face image from real-time image capture device, comprises the following steps:

[0072] a) LBP processing is performed on the original face image P to obtain the LBP image LBP(P);

[0073] b) Obtain the histogram H of the left and right faces from the LBP(P) l and H R ,calculate χ 2 ( H l , H r ) = Σ i ( H i l - H i r ) 2 H i l + H ...

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Abstract

The invention discloses a method for detecting the quality of a human face image, pertaining to the technical field of image processing. The method comprises the steps of: conducting LBP processing onan original human face image to obtain an LBP image (P); evaluating the symmetry of P according to a histogram of left cheek and right cheek in the LBP (P); conducting LBP backward processing on theLBP (P) to obtain a reconstructed image R; evaluating the illumination intensity and contrast ratio of P according to P and R; and evaluating the definition of P according to P and through the gradient of an image. The four evaluation methods can be used independently and can give computation weight to individual weight thereof and can also be used simultaneously. The method can be applied to detecting the quality of acquired images in image processing, and has the advantages of totally ignoring the influence of illumination and fully expressing the posture change, illumination intensity and contrast ratio of the human face.

Description

technical field [0001] The invention relates to face recognition, in particular to a method for detecting the quality of a face image to be recognized during the face recognition process, and belongs to the technical field of image processing. Background technique [0002] The role of facial image quality assessment [0003] In the face recognition system, the quality of the image to be recognized seriously affects the accuracy of the system matching. Image quality includes not only the global characteristics of the image itself such as brightness, contrast, resolution, etc., but also attributes related to facial features, such as the pose of the face in the face picture, asymmetric lighting, etc. Low-quality pictures may be the main cause of system matching errors, and directly cause many systems to be unable to be used in practice. [0004] The face image quality assessment system can effectively improve the system error caused by the low quality of the input image, and ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/36
Inventor 祝世虎封举富
Owner PEKING UNIV
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