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Face characteristic extraction method

An extraction method and face feature technology, applied in the field of face recognition, can solve problems such as limited effect

Inactive Publication Date: 2014-01-22
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

Since the illumination imaging model is not a simple signal superposition, the effect of existing methods using empirical mode decomposition is still relatively limited

Method used

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Embodiment Construction

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

[0026] see figure 1 , a preferred embodiment of the present invention provides a kind of human face feature extraction method, it comprises the following steps:

[0027] S11. Input the face photo I.

[0028] In this embodiment, according to the Lambertian reflection model, the expression of the face photo is obtained:

[0029] I(x,y)=R(x,y)L(x,y) (1)

[0030] Among them, R is the reflection component, and L is the light component. In general, R is an illumination-invariant face representation. In this embodiment, estimated values ​​of R and L need to be obtained.

[0031] S12. Perform logarithmic transformation on the face photo I to obtain a logarithmic domain image.

[0032] The expression (1) is logarithmically transformed, thus, the face photo I can be transformed into the logarithmic space (logarithmic domain), and the expres...

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Abstract

The invention discloses a face characteristic extraction method, which comprises the following steps of 11, inputting a face photo; 12, performing log transformation on the face photo to obtain a log-domain image; 13, decomposing the log-domain image in an EMD (empirical mode decomposition) way to obtain an EMD image; 14, extracting a high-frequency component from the EMD image as the estimate of a reflecting component to obtain a lighting-invariable face expression and an estimated lighting component. According to the face characteristic extraction method, the reflecting component and the lighting component of the log-domain image in a log space form a linear superposition relationship by performing log space transformation on the face photo, and the log-domain image is decomposed in the EMD way to extract the lighting-invariable face expression from the log-domain image, so that the lighting component can be effectively distinguished from the lighting component, and a better effect can be achieved.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face feature extraction method based on empirical pattern decomposition. Background technique [0002] Face recognition technology based on face photos has a wide range of applications in public security, digital art, games and other fields. The problem of illumination changes has always been a key factor affecting the performance of face recognition. In order to overcome the impact of illumination changes on face recognition technology, it is necessary to obtain the illumination invariant expression of the face from the input face photos. Existing studies have shown that: illumination changes mainly affect the low-frequency components of photos, but have little effect on high-frequency components. Therefore, the existing mainstream method is to extract the high-frequency components of the photo as an illumination-invariant expression by performing spectral analysis ...

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Application Information

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IPC IPC(8): G06K9/46G06K9/00
Inventor 谢晓华
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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