Cross-age face recognition method and system based on ternary constraints

A technology of face recognition and face recognition, which is applied in the field of cross-age face recognition methods and systems, and can solve problems affecting the performance of deep face recognition models, etc.
CN113705383APending Publication Date: 2021-11-26南京英诺森软件科技有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
南京英诺森软件科技有限公司
Publication Date
2021-11-26

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Abstract

The invention discloses a cross-age face recognition method and system based on ternary constraints, and belongs to the technical field of computer vision. According to the scheme, the method comprises steps of obtaining face sample data of different age spans, constructing an estimation model of age attributes, and estimating age attribute information for a training sample set, dividing three time units, respectively performing feature extraction on subsets of different age groups, taking the center features of different age groups of each identity object as a basis, continuously performing close constraint on the center features through features obtained by ternary sample set training, so that the feature aggregation effect of different age groups is improved, the final output result can be directly applied to a face recognition system. The features of different age groups are aggregated to obtain face features with finer granularity, and the problem that an existing face recognition method is low in recognition rate in cross-age-group face recognition can be effectively solved.
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Description

technical field

[0001] The present invention relates to the technical field of computer vision, and more specifically, to a method and system for cross-age face recognition based on ternary constraints. Background technique

[0002] Face recognition is a biometric technology for identification based on human facial feature information. A camera or camera is used to collect images or video streams containing human faces, and automatically detect and track human faces in the images, and then detect A series of related technologies for facial recognition of the obtained face, usually also called portrait recognition, facial recognition, cross-age face recognition is a very challenging international problem in the field of face recognition, as we all know, the same person Pictures of different ages will have very large differences, and these differences will seriously affect the accuracy of cross-age face recognition.

[0003] In the existing technology, deep learning has been ...

Claims

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