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Face identification method and system based on multi-visual-angle typical correlation analysis

A typical correlation analysis and face recognition technology, applied in the field of face recognition, can solve problems such as unfavorable discovery of multi-view data structure information, unsatisfactory face recognition effect, poor application effect, etc., to reduce recognition calculation Quantity, good recognition effect, and effect of improving recognition accuracy

Active Publication Date: 2016-06-29
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the above two methods are still deficient in reflecting finer local structures, which is not conducive to discovering structural information hidden in multi-view data, resulting in unsatisfactory face recognition results and poor practical application results

Method used

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  • Face identification method and system based on multi-visual-angle typical correlation analysis
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  • Face identification method and system based on multi-visual-angle typical correlation analysis

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Embodiment 1

[0048] Embodiment 1. The present invention proposes a face recognition method based on multi-view canonical correlation analysis. Refer to figure 1 , including the following steps:

[0049] S1. Preprocessing the face image used for training to obtain low-dimensional multi-view face image information;

[0050] S2. For the preprocessed face image information, calculate the Hessian matrix of each perspective and the Hessian matrix between any two perspectives; wherein, the Hessian matrix contains local information between multi-view data that is finer than the Laplacian matrix Correlation information is more conducive to discovering structural information hidden in multi-view data;

[0051]S3. Based on the above-mentioned Hessian matrix, calculate the covariance matrix of each viewing angle and between two viewing angles respectively, so that the covariance matrix contains the required local correlation information;

[0052] S4. Construct a projective space model on the basis o...

Embodiment 2

[0067] Embodiment 2. A face recognition system based on multi-view canonical correlation analysis, such as Figure 5 shown, including:

[0068] Image storage module: to obtain face image information, said face image information includes face images for training and face images to be identified;

[0069] Image processing module: use feature vectors to represent the acquired face images;

[0070] Model building module: preprocess the face image for training represented by the vector to obtain low-dimensional multi-view face image information, and then analyze the face image according to the multi-view face image information to obtain the projection space;

[0071] Classification and recognition module: project the multi-view face image information in the obtained projection space, and then classify and recognize the face image to be recognized

[0072] First, the face image information is input to the image storage module, and the face image information includes a face image f...

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Abstract

The invention relates to a face identification method and system based on multi-visual-angle typical correlation analysis. Low-pass filtering is carried out on a trained face image to obtain a low-frequency sub image, and K-L transform is used to reduce dimension of denoised data; and a Hessian matrix of all the visual angles and a Hessian matrix of every two visual angles are calculated for the pre-processed face image data, a sample image is trained to generate a multi-visual-angle projection space, and face identification is carried out in the projection space. According to the invention, multi-visual-angle face image information is obtained by dimension reduction, the computing amount of identification is reduced, the identification precision is improved, the Hessian matrixes use higher second-order gradient, a finer local structure can be reflected, structural information hidden in the multi-visual-angle data can be discovered, the face identification effect is improved, and the practical application value is higher.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face recognition method and system based on multi-view canonical correlation analysis. Background technique [0002] With the rapid development of science and technology, and people's constant pursuit of efficient and convenient lifestyles, fast and effective identity verification technology has also received extensive attention, such as in bank monitoring, access control systems, immigration inspection, criminal investigation and many other fields. widely used. There are various biometric features used in identity verification, such as: face recognition, retinal recognition, fingerprint recognition, etc. Among them, face recognition technology has the advantages of low cost, strong concealment, and user-friendliness, and plays an irreplaceable role in identity verification. [0003] The most classic existing multi-view face recognition method is the face recognition...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/172
Inventor 刘伟锋杨兴浩
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)