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Model training method, cross-age face recognition method and corresponding devices

A technology of age person and model, applied in the computer field, can solve problems such as face recognition failure, complex age change, difficult model analysis, etc., and achieve the effect of reducing complexity and strong robustness

Active Publication Date: 2017-12-15
SHENZHEN SENSETIME TECH CO LTD
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AI Technical Summary

Problems solved by technology

Among them, the change of age will cause huge changes in the face, which may easily lead to the failure of face recognition.
In addition, the change of age is very complicated, and it is difficult to establish an accurate model to analyze it

Method used

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  • Model training method, cross-age face recognition method and corresponding devices
  • Model training method, cross-age face recognition method and corresponding devices
  • Model training method, cross-age face recognition method and corresponding devices

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Embodiment Construction

[0037] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0038] The key algorithm used in the present invention for face recognition is Latent Factor guided Convolution Neural Networks (LF-CNNs for short) based on latent factors, which uses face image information as an object to construct a depth analysis model embedded with latent factors. The convolutional neural network model extract...

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Abstract

The invention provides a model training method, a cross-age face recognition method and corresponding devices, which are used for improving the accuracy rate of cross-age face recognition, and reducing the complexity of cross-age face recognition. The model training method comprises the steps of: acquiring a universal face database and a cross-age face database, wherein the cross-age face database comprises a plurality of face image groups classified according to identity characteristics and age characteristics of faces; and training a deep convolution neural network model guided by a latent factor analysis model by using the universal face database and the cross-age face database, and outputting the deep convolution neural network model after training is finished.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a model training method, a cross-age face recognition method and a corresponding device. Background technique [0002] In many applications, due to the requirements of security, human-computer interaction, and crowd analysis, timely and reliable identity information verification and identification are required. Obtaining identity authentication through face images has the characteristics of non-contact, non-invasive, convenient and fast for users. Therefore, as a very promising identification technology, face recognition technology is worthy of in-depth research and vigorous promotion. Face recognition technology has many important applications, such as robot intelligence, intelligent video surveillance, home security verification, criminal surveillance analysis, network video social interaction, etc. In the actual application scenarios of face recognition, the face images to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06V40/172G06V10/95G06N3/045
Inventor 李志锋乔宇温研东
Owner SHENZHEN SENSETIME TECH CO LTD
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