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Nearest feature line based facial feature extracting method and device

A technology of recent feature lines and facial features, which is applied in the field of human identity authentication and recognition, and can solve problems such as increased computational complexity and loss of correlation.

Inactive Publication Date: 2014-10-22
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL +1
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AI Technical Summary

Problems solved by technology

[0016] Existing methods need to convert face image data into vectors, which increases the amount of computation and may also lead to loss of correlation between adjacent pixels in the image

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  • Nearest feature line based facial feature extracting method and device
  • Nearest feature line based facial feature extracting method and device
  • Nearest feature line based facial feature extracting method and device

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Embodiment Construction

[0045] The present invention will be further described below in conjunction with the accompanying drawings.

[0046] A face feature extraction device based on the nearest feature line: including a sample matrix module, a scatter matrix construction module and a projection matrix construction module.

[0047] Sample matrix module: used to matrix the input current face image samples and store them in the sample matrix module to become a sample image matrix; the collection of sample image matrices constitutes a face database;

[0048] Scatter matrix construction module: used to calculate the divergence between the sample image matrices based on the two-dimensional closest feature line, where the sample image matrix is ​​the sample image matrix stored in the sample matrix module, and construct the current face database The scatter matrix;

[0049] Projection matrix construction module: used to construct the optimal projection matrix of the current face database according to the s...

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Abstract

The invention provides a nearest feature line based facial feature extracting method and device. The nearest feature line based facial feature extracting device comprises a sample matrix module, a divergence matrix construction module, and a projection matrix construction module. According to the nearest feature line based facial feature extracting method, image matrix data are directly used for calculation to obtain projection points on a feature line generated by facial image samples of the same kind, the projection points and the facial image samples are both matrixes, and a two-dimensional nearest feature line based intra-class divergence matrix is minimized to obtain a linear transformation so that two-dimensional feature line based intra-class divergence is minimum after the facial image samples are subjected to linear transformation. Compared with traditional nearest feature line space methods, the nearest feature line based facial feature extracting method has the advantages that the amount of calculation is reduced, and meanwhile, relevancy among neighboring pixel points of an image matrix per se can be also retained as much as possible.

Description

technical field [0001] The invention relates to identity authentication and identification of people, in particular to a face feature extraction method and device based on the nearest feature line. Background technique [0002] Face recognition technology is a new biometric identification technology, and it is a high-end technology in the field of international and domestic science and technology. In the process of face recognition, feature extraction is an important step. Before the face image is recognized, it is necessary to extract a feature set of the face image of each category from multiple face images of each category. The face image samples used in this process are called training samples. [0003] When performing face recognition, first extract features from the target face image in the same way as extracting training samples, and then match the extracted features with the features of each category of training samples to find the most suitable The training sample...

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Application Information

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IPC IPC(8): G06K9/66G06K9/46
Inventor 闫立军潘正祥蔡正富
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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