Method for automatically identifying face images before and after makeup

An automatic recognition, face image technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as poor diversity and small data volume, improve accuracy, ensure stability, and avoid model overfitting effect of the problem

Active Publication Date: 2019-06-07
FUDAN UNIV
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AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method for automatic recognition of face images before and after makeup. Considering the particularity of the data set itself and the salience of facial features, a data set expansion...

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  • Method for automatically identifying face images before and after makeup
  • Method for automatically identifying face images before and after makeup
  • Method for automatically identifying face images before and after makeup

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Embodiment Construction

[0037] The present invention will be further elaborated below by describing a preferred specific embodiment in detail in conjunction with the accompanying drawings.

[0038] figure 1 A flowchart showing a method for automatic recognition of face images before and after makeup, such as figure 1 As shown, it includes a data set expansion algorithm based on facial key area replacement, key local area feature-assisted learning task network, and feature information fusion method of attention mechanism. The method for automatic recognition of face images before and after makeup specifically includes the following steps:

[0039] S1, performing feature extraction on face data;

[0040] S2, using a data set expansion algorithm based on facial key region replacement to expand the facial makeup data set;

[0041] S3, constructing a multi-example training data set;

[0042] S4, use the key local area feature-assisted learning task network to extract global features and local features...

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Abstract

The invention discloses a method for automatically identifying face images before and after make-up. The method comprises the following steps: S1, carrying out feature extraction on face data; S2, expanding the facial makeup data set by using a data set expansion algorithm based on facial key region replacement; S3, constructing a multi-example training data set; S4, extracting global features andlocal features by adopting a critical local area feature assisted learning task network, then obtaining final features of the training data by adopting a feature information fusion method of an attention mechanism, and continuously training and finely adjusting the network; S5, continuously iterating and repeating the step S2 and the step S3 until the network converges to realize the training ofthe face recognition network; and S6, on the test data set, giving to-be-identified face data before and after makeup, and performing feature extraction and similarity calculation through a face identification network obtained through training, thereby realizing face identification.

Description

technical field [0001] The invention relates to the technical field of computer image analysis, in particular to an automatic recognition method for face images before and after makeup. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. In recent years, with the rapid development of computer vision technology, automatic face recognition technology has been extensively researched and developed, and face recognition has become one of the most popular research topics in pattern recognition and image processing in the past 30 years. And with the continuous development of deep learning technology in recent years, the accuracy of face recognition tasks has been greatly improved. However, due to changes in head posture, occlusion, light and other effects, face recognition technology still faces many challenges in practical applications. [0003] The system of the present invention is mainly aimed ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 付彦伟姜育刚薛向阳王文萱
Owner FUDAN UNIV
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