A Face Recognition Method Based on Dimensionality Reduction Based on Multi-core Association Integration

An integrated dimensionality reduction and face recognition technology, which is applied in the field of face recognition based on multi-core association integration dimensionality reduction, can solve the problems of difficult processing and high dimensionality of the original data of face recognition

Active Publication Date: 2021-09-10
JIANGSU UNIV
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Problems solved by technology

[0006] According to the deficiencies and defects of the prior art, the present invention proposes a face recognition method based on multi-core association integration dimensionality reduction, the purpose is to solve the problem of high dimensionality and difficult processing of the original data of face recognition, and the typical association based on kernel Analyze the problem of selecting the kernel function and parameters in the function in the dimensionality reduction method, so as to obtain a higher face recognition rate

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  • A Face Recognition Method Based on Dimensionality Reduction Based on Multi-core Association Integration
  • A Face Recognition Method Based on Dimensionality Reduction Based on Multi-core Association Integration
  • A Face Recognition Method Based on Dimensionality Reduction Based on Multi-core Association Integration

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[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0042] Such as figure 1 As shown, a face recognition method based on multi-core association integration dimensionality reduction, including the following steps:

[0043] Preprocess the face picture data, read all the pictures on the training set, and generate sample matrices X, Y according to the pixel values ​​of the pictures. For the high-dimensional feature space R, there are two sample sets X=[x 1 ,x 2 ,...,x i ]∈R N×m and Y=[y 1 ,y 2 ,...,yi ]∈R N×p , wherein, i=1,2,...,N, N is the number of samples, m is the dimension of matrix X, and p is the dimension of matrix Y;

[0044] Such as ...

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Abstract

The invention discloses a face recognition method based on multi-core correlation integration and dimensionality reduction. The method comprises the following steps: preprocessing face picture data, obtaining a training sample matrix, and performing data dimensionality reduction processing on the data sample matrix by using multi-core correlation integration; The weight of each kernel model is determined according to the eigenvalues ​​and eigenvectors, so as to weight the matching classifier, thus solving the problem of high dimensionality and difficult processing of the original data of face recognition, and the need to select a kernel in the dimensionality reduction method of typical association analysis based on kernels The problem of the function and the parameters in the function can be obtained to obtain a higher face recognition rate, which can shorten the matching time and reduce the matching difficulty, so that the face recognition process will be more accurately realized and a higher recognition accuracy rate can be obtained.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a face recognition method based on multi-core association integration and dimensionality reduction. Background technique [0002] With the rapid development of information technology, people hope to confirm the identity of a person more efficiently and automatically. The characteristic information possessed by each person is very different and has great differences, so it can be used for identity verification. Face recognition technology has become a popular research technology, and its research and application are becoming more and more important. With the deepening of the research, it has also received wider attention from the society. In recent years, as an important part of biometric identification, it has been widely used in video surveillance, human-computer interaction, multimedia management and other fields, such as security checks for important occasions, rea...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06F18/213G06F18/214
Inventor 沈项军罗晓贞
Owner JIANGSU UNIV
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