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Face illumination invariant feature extraction method by using logarithmic transformation and Roberts operator

A technology with constant illumination and logarithmic transformation, applied in the field of pattern recognition, to achieve the effect of simple method, high recognition rate and fast recognition speed

Inactive Publication Date: 2017-12-05
CHONGQING THREE GORGES UNIV
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Problems solved by technology

Since the late 1990s, some commercial face recognition systems have gradually entered the market. However, these technologies and systems are far from being practical, and their performance and accuracy need to be improved. For example, the main factors affecting the performance of face recognition Postures, expressions, lighting changes, etc. still exist

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  • Face illumination invariant feature extraction method by using logarithmic transformation and Roberts operator
  • Face illumination invariant feature extraction method by using logarithmic transformation and Roberts operator
  • Face illumination invariant feature extraction method by using logarithmic transformation and Roberts operator

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Embodiment Construction

[0025] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0026] Such as figure 1 Shown, a kind of face illumination invariant feature extraction method of logarithmic transformation and Roberts operator, comprises the following steps:

[0027] (1) Transform the original image into the logarithmic domain;

[0028] (2) In the logarithmic domain, use the Roberts operator to sharpen the face, extract the detailed features of the face, and eliminate the illuminated part of the face at the same time to obtain the invariant feature of the face illumination.

[0029] According to the light reflection model, any grayscale face image I(x,y) can be regarded as the product of the reflection component R(x,y) and the light component L(x,y), that is, I(x,y)=R (x, y) L (x, y); In the step (1), the face image is logarithmically transformed, so that the reflection component and the light component are converted fro...

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Abstract

The invention discloses a face illumination invariant feature extraction method by using logarithmic transformation and a Roberts operator. The method comprises the following steps: a face image is transformed into a logarithmic domain; the Roberts operator is used to sharpen the face image, the details of the face are extracted, an illumination component is eliminated, and the obtained result is the face illumination invariant feature which needs to be extracted. A certain suppression role is played to illumination of different angles, and the face image recognition rate after processing is higher than that after processing in the existing method; and the logarithmic transformation and the Roberts operator are adopted to carry out illumination processing on the face image, the method is simple, and the recognition speed is quick.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a feature extraction method utilizing logarithmic transformation and Roberts operator for invariant features of human face illumination. Background technique [0002] The research on face recognition technology began in the late 1960s. Face recognition has the characteristics of friendly interaction, no need for special cooperation from users, and no violation of users' privacy rights. It has gradually become a hot research field. Since the late 1990s, some commercial face recognition systems have gradually entered the market. However, these technologies and systems are far from being practical, and their performance and accuracy need to be improved. For example, the main factors affecting the performance of face recognition Poses, expressions, lighting changes, etc. still exist. The difference between the same face images under different lighting conditions is often...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/168
Inventor 聂祥飞王元元何雪熊文怡杨志军
Owner CHONGQING THREE GORGES UNIV
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