Face recognition method, device and system and model training method and device

A face recognition and model technology, applied in the field of face recognition, can solve the problems of low training flexibility, low face recognition efficiency, large resource and time consumption, etc.

Active Publication Date: 2019-10-08
HANGZHOU HIKVISION DIGITAL TECH
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AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a face recognition method, device and system, and a model training method and device, which can solve the problems of low face recognition efficiency in related technologies and the large consumption of resources and time when training a deep learning model. The problem of low flexibility

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  • Face recognition method, device and system and model training method and device
  • Face recognition method, device and system and model training method and device
  • Face recognition method, device and system and model training method and device

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Embodiment Construction

[0112] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0113] figure 1 It is a flowchart of a face recognition method provided by an embodiment of the present invention, such as figure 1 As shown, the method may include:

[0114] Step 101, input the face image to be recognized into the deep learning model.

[0115] Step 102, receiving facial feature data output by the deep learning model.

[0116] in, Figure 2A is a schematic structural diagram of a deep learning model provided by an embodiment of the present invention, such as Figure 2A As shown, the deep learning model may include: an input layer 01 , a first output layer 02 , a feature combination layer 03 and a second output layer 04 connected in sequence.

[0117] The input layer 01 is used to perform data processing on the fac...

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Abstract

The invention discloses a face recognition method, device and system and a model training method and device, and belongs to the technical field of face recognition. The method comprises the steps of inputting a to-be-identified face image to a deep learning model; receiving face feature data output by the deep learning model; in the deep learning model, the input layer is used for carrying out data processing on a to-be-identified face image after receiving the to-be-identified face image so as to obtain high-dimensional feature data; the first output layer is used for performing data dimension reduction processing on the high-dimensional feature data to obtain low-dimensional feature data; the feature combination layer is used for preprocessing the low-dimensional feature data and carrying out merging processing on the low-dimensional feature data to obtain combined feature data; and the second output layer is used for carrying out feature fusion on the combined feature data to obtainface feature data. The problems that in the prior art, the face recognition efficiency is low, resource and time consumption is large when a deep learning model is trained, and the training flexibility is low are solved.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a face recognition method, device and system, and a model training method and device. Background technique [0002] Face recognition technology is a technology that extracts facial features through computers and performs identity verification based on these facial features. Faces are born with other biological characteristics (such as fingerprints, irises, etc.) of the human body. Their uniqueness and good characteristics that are not easy to be copied provide the necessary conditions for identification. Compared with other biometric recognition technologies In contrast, face recognition technology has the characteristics of simple operation and intuitive results. At present, in order to improve the accuracy of face recognition, a trained deep learning model is usually used to extract face features. [0003] In related technologies, it is usually necessary to t...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06V40/168G06F18/2413
Inventor 颜雪军杨成平王春茂朱江浦世亮
Owner HANGZHOU HIKVISION DIGITAL TECH
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