Infrared human face spectacle disturbance elimination method based on regional characteristic element compensation

A technology of regional characteristics and interference elimination, which is applied in the field of image processing, can solve problems such as large amount of calculation, complex algorithm, and glasses interference, and achieve the effect of improving recognition rate, suppressing interference, and simple and effective method

Inactive Publication Date: 2005-04-13
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0003] After searching the prior art documents, it was found that "Recognition and Detection of Occluded Faces by a Neural NetworkClassifier with Recursive Data Reconstruction," ("Occluded Face Detection and Recognition Based on Neural Networks and Recursive Data Reconstruction," IEEE Symposium on Video and Surveillance Signals, Florida, PP.53-58, 2003), In this paper, in visible light face recognition, a method for dealing with occlusion interference is proposed, but these methods are complex in algorithm, heavy in computation, and do not take into account the characteristics of infrared face
Therefore, starting from the infrared face itself to solve the problem of glasses interference has not been well resolved

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  • Infrared human face spectacle disturbance elimination method based on regional characteristic element compensation
  • Infrared human face spectacle disturbance elimination method based on regional characteristic element compensation
  • Infrared human face spectacle disturbance elimination method based on regional characteristic element compensation

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[0019] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0020] Such as figure 1 Shown is the flow chart of the method of the present invention. Input an infrared face image, and first perform glasses detection to determine whether the infrared face wears glasses. For infrared face images without glasses, the recognition results are obtained directly by eigenface analysis and nearest neighbor classification. For the infrared face image wearing glasses, after the eigenface analysis is performed on it, the feature element compensation of the region is also performed, and then the nearest neighbor classification is performed.

[0021] The specific implementation details of each part are as follows:

[0022] 1. Detection of infrared face glasses

[0023] People usually use the ellipse matching method to detect glasse...

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Abstract

Disclosed is an infrared human face spectacle disturbance elimination method based on regional characteristic element compensation, proceeding eyeglass detection to the imported infrared human face graph, carrying out corresponding treatment based on whether eyeglass is present, for infrared human face graph with no eyeglass, carrying out characteristic face analysis for direct neighboring categorization, thus obtaining the discrimination result, for infrared human face graph with eyeglass, carrying out characteristic face analysis to obtain characteristic vector, compensating the provincial characteristics elements of the eyeglass, proceeding neighboring categorization to obtain the discrimination result. The invention can effectively repress the disturbance by eyeglass.

Description

technical field [0001] The invention relates to a method for processing glasses interference in infrared face recognition, in particular to an infrared face glasses interference elimination method based on regional feature element compensation, which is used in the field of image processing. Background technique [0002] In the past decade, research on face recognition has received unprecedented attention. Unlike other identification technologies such as fingerprints and iris, face recognition is more direct and friendly, and users have no psychological barriers. The current face recognition system can achieve very high accuracy under limited conditions, but there are still problems in practical applications. Many factors can affect the performance of recognition, such as face rotation, facial expressions, occlusion of faces, and changes in lighting. Current research shows that infrared face recognition can also be used as a good biometric technology, and in many cases is ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 敬忠良陈雪荣孙韶媛肖刚
Owner SHANGHAI JIAO TONG UNIV
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