Cross-age face recognition method, system and device and storage medium

A face recognition and age-based technology, applied in the field of deep learning, to reduce the impact, improve the discrimination ability, and improve the extraction ability.

Active Publication Date: 2020-11-03
广东芯盾微电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, age-related components and identity-related components have latent relationship

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  • Cross-age face recognition method, system and device and storage medium
  • Cross-age face recognition method, system and device and storage medium
  • Cross-age face recognition method, system and device and storage medium

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Embodiment Construction

[0047] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention. For the step numbers in the following embodiments, it is only set for the convenience of illustration and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art sexual adjustment.

[0048] A cross-age face recognition model, method, system, device and storage medium according to the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Fi...

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Abstract

The invention discloses a cross-age face recognition model, method, system and device, and a storage medium. The method comprises the following steps: obtaining a face image pair; inputting the face image pair into a cross-age face recognition model for comparison, and outputting a comparison result; wherein the cross-age face recognition model comprises an age discrimination network, the age discrimination network comprises an age discrimination module and a feature generator, and the cross-age face recognition model is obtained by alternately updating the age discrimination module and the feature generator according to a related loss function. The method not only improves the age discrimination capability of the age discrimination module, but also improves the capability of the feature generator for obtaining the face features which enable the age discrimination module not to carry out age discrimination, thereby improving the extraction capability of the feature generator for the identity features, reducing the impact on the identity features from the age information, and improving the user experience. The method can be widely applied to the technical field of deep learning.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a cross-age face recognition method, system, device and storage medium. Background technique [0002] Cross-age face recognition refers to the recognition detection of several face images of different ages, and then judges whether these face images belong to the same identity. [0003] Faces will change a lot with age. If we can cope with the changes of faces with age, then cross-age face recognition technology will be widely used in file management systems, security verification systems, public security systems, etc. It has made great contributions to the areas of systematic criminal identification, banking and customs monitoring. [0004] Discriminative methods in cross-age face recognition tasks attempt to tackle the problem of cross-age face recognition by using age-invariant classifiers to distinguish encoded face features. For example, Li et al. proposed a h...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/16G06V40/178G06V40/172G06N3/045G06F18/22
Inventor 胡海峰陈弟虎
Owner 广东芯盾微电子科技有限公司
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