Attitude robustness face recognition method based on deep learning

A face recognition and deep learning technology, applied in the field of image processing, can solve the problems of face recognition accuracy and speed need to be improved, and achieve the effect of strong self-learning ability, improved accuracy and efficiency, and simplified model.

Inactive Publication Date: 2019-09-27
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

[0006] The present invention overcomes the problem that the accuracy and speed of face recognition with pose changes need to be improved in the prior art, and provides a pose robust face recognition method based on deep learning with high processing accuracy and efficiency

Method used

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  • Attitude robustness face recognition method based on deep learning
  • Attitude robustness face recognition method based on deep learning
  • Attitude robustness face recognition method based on deep learning

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Experimental program
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Embodiment

[0034] The process of the embodiment is as follows: Step 1, preprocessing the training samples.

[0035] The samples in the internationally open CASIA_Webface face image database are selected as face identity information training samples, and the samples in the internationally open 300W-LP face image database are selected as face pose information training samples.

[0036] For the CASIA_Webface dataset, use the Haar feature detector in the opencv library to detect and locate the facial feature points in the training sample image, and use the cv.getAffineTransform(·) function in the opencv library to perform affine transformation on the located feature points , realize the alignment preprocessing of training samples, use the cv.SetImageROI(·) function in the opencv library to perform face image segmentation preprocessing on the aligned sample images, and obtain simplified training samples; for the 300W-LP data set, use the scipy library The sio in reads the face frame coordinat...

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Abstract

The invention discloses an attitude robustness face recognition method based on deep learning. The problem that in the prior art, the face recognition accuracy and speed with attitude changes need to be improved is solved. The method comprises the following steps: step 1, preprocessing a training sample; step 2, constructing and training a face identity recognition network; step 3, constructing and training a head posture recognition network; and step 4, constructing and training a feature fusion network. Firstly, face identity characteristics and posture characteristic information are extracted by using a convolutional neural network, characteristic fusion is carried out on the two kinds of information, and finally, cosine similarity measurement is carried out on fusion characteristics containing the face identity information and the posture information, and whether the fusion characteristics belong to the same person or not is judged, thereby finishing face identity recognition. The invention discloses a face recognition technology with posture robustness through a feature fusion method, and the face recognition accuracy and speed with posture change are improved.

Description

technical field [0001] The present invention relates to a pose robust face recognition method based on deep learning in the technical field of image processing, in particular to a pose robust face recognition method based on deep learning. Background technique [0002] With the continuous development of face recognition technology, its application in the security field is becoming more and more extensive. In recent years, face recognition unlocking, face attendance machine, face recognition access control, face payment and other applications have begun to appear. However, due to the limitations of traditional face recognition methods, most face recognition products can only be used with the cooperation of users. In use, in a non-cooperative and uncontrolled environment, the accuracy of face recognition is greatly reduced due to changes in posture, illumination, and expression, which greatly limits the application and promotion of face recognition technology. Among these cha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/168G06V40/172G06N3/045
Inventor 宋彬周琳徐琛
Owner XIDIAN UNIV
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