Angle robust personalized facial expression recognition method based on adversarial learning

A facial expression recognition and facial expression technology, applied in the field of computer vision, can solve problems such as difficult to learn performance facial expression classifiers

Active Publication Date: 2020-07-07
UNIV OF SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

However, limited by the sample size of a single individual, it is difficult to learn a better performance facial expression classifier

Method used

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  • Angle robust personalized facial expression recognition method based on adversarial learning
  • Angle robust personalized facial expression recognition method based on adversarial learning
  • Angle robust personalized facial expression recognition method based on adversarial learning

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Experimental program
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Embodiment Construction

[0077] In this example, if figure 1 As shown, an angle-robust personalized facial expression recognition method based on adversarial learning is carried out as follows:

[0078] Step 1, carry out image preprocessing to the database that contains N class facial expression images:

[0079] Use the MTCNN neural network algorithm to perform face detection and correction on all facial expression images in the database, so as to obtain a normalized face image data set and use it as a sample set; in this embodiment, after normalization processing The pixel size of all face images is 128×128;

[0080] Taking the individuals in the database as the basis of division, the sample set is randomly divided to obtain the source domain data set S and the target domain data set T; let any sample in the source domain data set S be x s , any sample x in the source domain s marked as y s , any sample x in the source domain s The angle of the mark is p s ;Let any sample in the target domain d...

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Abstract

The invention discloses an angle robust personalized facial expression recognition method based on adversarial learning. The angle robust personalized facial expression recognition method comprises the steps of: 1, performing image preprocessing on a database containing N types of facial expression images; 2, constructing a feature decoupling and domain adaptive network model based on adversariallearning; 3, training the constructed network model by using an alternate iterative optimization mode; and 4, predicting a to-be-detected face image by using the trained model to realize classification and recognition of the face expressions. According to the angle robust personalized facial expression recognition method, the negative influence of angles and individual difference in facial expression recognition on the facial expression recognition effect can be overcome at the same time, so that the precise recognition of the facial expression is realized.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an angle-robust personalized facial expression recognition method based on confrontational learning. Background technique [0002] Facial expression recognition is an important research topic in the field of computer vision, and has a wide range of applications in human-computer interaction, fatigue detection, crime detection and medical treatment. The current facial expression recognition methods mostly assume that the facial image is a positive face, but in actual application scenarios, the relative position of the user is not fixed, and the scene is changeable. Only facial expression recognition with multi-angle conditions can meet the actual needs. . Therefore, in recent years, researchers have also proposed some methods to deal with the influence of angle on facial expression recognition. According to how to handle the angle variation, these methods can be divided ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/174G06V40/168G06N3/045G06F18/214
Inventor 王上飞王灿
Owner UNIV OF SCI & TECH OF CHINA
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