Method for automatically identifying face images before and after makeup

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 ...

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 algorithm based on facial key region replacement and The deep neural network structure model of multi-instance learning solves the problem of small amount of data and poor diversity, and at the same time obtains more expressive features from images

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