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A Face Image Reconstruction Method Based on Identity Information

A face image and identity information technology, which is applied in the field of face image reconstruction based on identity information, can solve the problem of not being able to effectively maintain identity information, and achieve the effect of being beneficial to face recognition, high accuracy, and maintaining identity information.

Active Publication Date: 2021-04-30
NANJING UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: To overcome the shortcomings of the existing face super-resolution reconstruction model that cannot effectively maintain identity information, so that the super-resolution reconstruction of face images has more practical application value

Method used

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  • A Face Image Reconstruction Method Based on Identity Information
  • A Face Image Reconstruction Method Based on Identity Information
  • A Face Image Reconstruction Method Based on Identity Information

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Experimental program
Comparison scheme
Effect test

Embodiment

[0072] In order to verify the effectiveness of the algorithm, the model obtained from the above process was tested on the face public dataset LFW, and the obtained data passed the LFW-BLUFR test method (references Liao S, Lei Z, YiD, et al.A Benchmark Study of Large-scale Unconstrained Face Recognition[J].2014.) for evaluation.

[0073] In the above process, the data used comes from the CASIA-Web face dataset, so it is objective to use the LFW dataset in the test (the training set is different from the test set).

[0074] The following is the process of evaluating the model obtained by the present invention on the LFW data set:

[0075] 1. Perform face clipping on LFW data (remove the background part, so that the remaining image only retains the face part);

[0076] 2. Perform 4 times downsampling on all the clipped data obtained above;

[0077] 3. Input the data after 4 times downsampling into the super-resolution reconstruction model obtained by the present invention to ob...

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Abstract

The invention provides a face image reconstruction method based on identity information, comprising: Step 1, creating a deep network model; Step 2, reading a pre-trained face recognition model; Step 3, down-sampling the training data and Clipping processing; step 4, input the training data into the deep network model to obtain the reconstructed image; step 5, input the reconstructed image into the face recognition model to obtain the feature vector; step 6, input the original image after clipping In the face recognition model, get the feature vector; step 7, calculate Quadruplet-loss; step 8, calculate MSE-Loss; step 9, update the parameters of the deep network model through back propagation; step 10, through the image before and after reconstruction , and the corresponding label information, update the weight parameters of the face recognition model; step 11, repeat steps 3 to 10, until the loss function value in step 9 converges.

Description

technical field [0001] The invention relates to a face image reconstruction method based on identity information. Background technique [0002] In recent years, the rise of deep learning has provided good solutions to many problems in the field of computer vision, enabling more and more computer vision research results to play a role in real life. Face recognition is one of the hottest directions. one. In the wave of deep learning in the past five years, the accuracy of face recognition algorithms has been improved unprecedentedly. From the experimental results, it has surpassed the ability of human beings in face recognition tasks. However, the environment considered in the experiment is often relatively simple, but there are many unexpected interferences in practical applications. For face recognition tasks, the most common is that the image quality is low due to the interference of various external factors, which will seriously affect the accuracy of the face recognitio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40G06K9/00G06N3/04G06N3/08
CPCG06T3/4053G06N3/084G06V40/172G06N3/045
Inventor 申富饶王绪冬李俊赵健
Owner NANJING UNIV
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