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A cross-age face recognition method

A face recognition and age person technology, applied in the field of cross-age face recognition, can solve the problems of poor cross-age face recognition ability, achieve the effect of reducing model complexity and improving recognition efficiency

Active Publication Date: 2020-04-24
SYSU CMU SHUNDE INT JOINT RES INST +1
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  • Claims
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AI Technical Summary

Problems solved by technology

[0006] The present invention provides a cross-age face recognition method, which solves the problem of poor recognition ability of cross-age faces in the prior art

Method used

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  • A cross-age face recognition method
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  • A cross-age face recognition method

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Embodiment 1

[0040] Such as figure 1 As shown, a cross-age face recognition method based on maximum entropy feature descriptor and aging-aware denoising autoencoder, including the following steps:

[0041] (1) Densely sample the face image to be recognized, that is, divide the face image into multiple overlapping blocks, extract the pixel vector for each block, and take multiple values ​​for the overlapping radius of the block to preserve as much as possible Partial information of the face;

[0042](2) For the extracted pixel vector, build a decision tree, set the probability value of the root node of the tree to 1, use the principle of maximum entropy to recursively expand the tree, and finally assign a code to each leaf node of the tree, where, Each leaf node represents a local feature;

[0043] (3) For each face image, concatenate the obtained maximum entropy feature description codes into a feature vector, re-segment the feature vector, and use methods such as principal component ana...

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Abstract

The invention provides a cross-age face recognition method. The method obtains a cross-age face recognition method composed of two major modules (maximum entropy feature description module and aging-sensing denoising automatic coding module) by training a large number of face images including four age groups. The age face recognition system realizes the recognition of any two face images of different ages. The maximum entropy feature description module utilizes the maximum entropy splitting of the decision tree to realize the encoding allocation containing the maximum amount of information, and the aging-aware denoising automatic coding module reconstructs a feature descriptor of any age group into feature descriptors of four different age groups, Synthesize these descriptors to obtain a face comprehensive feature vector that eliminates the effect of aging, and finally calculate the cosine distance of the comprehensive feature vectors of different faces to realize face recognition. The invention can well reduce the information loss problem of some traditional descriptors, and eliminates the influence of aging factors in cross-age face recognition, and has good performance in cross-age face recognition.

Description

technical field [0001] The present invention relates to the field of face image processing, and more specifically, to a cross-age face recognition method. Background technique [0002] With the continuous advancement of science and technology and the urgent need for fast and effective automatic identity verification in all aspects of society, biometric identification technology has been developed and applied rapidly in recent decades, and face recognition technology has become a very popular technology. research topics. But there are still some problems in the current face recognition technology. One of the most important problems is that the recognition rate of face recognition is greatly affected by age. In face recognition, the face differences between different individuals are often smaller than the face differences of the same individual in different situations, which is especially common in cross-age face recognition problems. [0003] The features that can be used b...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/168
Inventor 胡海峰吴永波李昊曦杜灵双
Owner SYSU CMU SHUNDE INT JOINT RES INST
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