Single-sample face identification method and system based on face feature point

A technology of facial features and feature points, applied in the field of computer vision and pattern recognition, to achieve the effect of reducing computational complexity, increasing robustness, and improving recognition ability

Active Publication Date: 2016-07-27
SHENZHEN UNIV
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Problems solved by technology

[0004] The main purpose of the present invention is to provide a single-sample face recognition method and system based ...

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  • Single-sample face identification method and system based on face feature point
  • Single-sample face identification method and system based on face feature point
  • Single-sample face identification method and system based on face feature point

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Embodiment Construction

[0062] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0063] Based on the above problems, the present invention provides a single-sample face recognition method based on facial feature points.

[0064] refer to figure 1 , figure 1 It is a schematic flowchart of the first embodiment of the face feature point-based single-sample face recognition method of the present invention.

[0065] In this embodiment, the single-sample face recognition method based on facial feature points includes:

[0066] Step S10, acquiring a face image to be recognized;

[0067] In this embodiment, a face image to be recognized is input into a face recognition device or a face recognition system, and the face image to be recognized can be a standard face image, such as an electronic passport face image and a driver's license Face images, or non-standard face images, such as face images with d...

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Abstract

The invention discloses a single-sample face identification method and system based on a face feature point. The method comprises the following steps: obtaining a face image to be identified; acquiring a feature point in the face image to be identified, wherein the feature point comprises a key point and a dense point; extracting a feature vector of the feature point; initializing a weight of the feature point and a first projection matrix; calculating a weighting cooperation expression of the feature vector so as to obtain an expression coefficient of the feature vector; determining whether to update the weight of the feature point and the first projection matrix; if so, after a cooperation expression error of the feature vector is calculated according to the expression coefficient, according to the cooperation expression error, updating the weight of the feature point and the first projection matrix, and returning to recalculate the weighting cooperation expression of the feature vector; and if not, according to the weight, the first projection matrix and the feature vector, determining the identity of the face image to be identified. According to the invention, the algorithm robustness can be enhanced, the face identification rate is improved, and the calculation complexity during identification is reduced.

Description

technical field [0001] The invention relates to the technical fields of computer vision and pattern recognition, in particular to a single-sample face recognition method and system based on facial feature points. Background technique [0002] As a research hotspot in computer vision and pattern recognition, face recognition has received a lot of attention due to its advantages of non-contact and naturalness (such as identifying people similar to human eyes) and huge industry value (such as identification, human-computer interaction, etc.). wide attention in academia and industry. In the process of face recognition, there may be large differences in the face images taken by the same person in different environments. It may cause a large difference between face images. Especially when there is a large difference between the face image to be recognized and the face image in the query database, the face to be recognized can be accurately determined only on the premise that the...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/168
Inventor 杨猛王兴沈琳琳
Owner SHENZHEN UNIV
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