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Face recognition method, neural network training method, neural network training device and electronic equipment

A technology of neural network training and face recognition, applied in the direction of biological neural network model, neural architecture, neural learning method, etc., can solve the problems of lack of technical means, achieve the goal of improving accuracy, facilitating face authentication, and improving convenience Effect

Active Publication Date: 2019-06-14
BEIJING SENSETIME TECH DEV CO LTD
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AI Technical Summary

Problems solved by technology

These market demands usually require the recognition of the driver's face and subsequent management and control based on this, but there is currently a lack of corresponding technical means

Method used

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  • Face recognition method, neural network training method, neural network training device and electronic equipment
  • Face recognition method, neural network training method, neural network training device and electronic equipment
  • Face recognition method, neural network training method, neural network training device and electronic equipment

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Embodiment Construction

[0100] In order to make the purpose, technical solution and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with the accompanying drawings.

[0101] The terms "first", "second" and the like in the specification and claims of the present disclosure and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods or apparatuses.

[0102] see figure 1 , figure 1 It is a schematic flow chart of a face recognition method provided by an embodiment of the...

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Abstract

The invention discloses a face recognition method, a neural network training method, a neural network training device and electronic equipment. The method comprises the steps that acquring a first face image through a first camera; extracting a first face feature of the first face image; comparing the first face feature with a pre-stored second face feature to obtain reference similarity, extracting the second face feature through features of a second face image obtained by a second camera, and enabling the second camera and the first camera to belong to different types of cameras; and determining whether the first face feature and the second face feature correspond to the same person according to the reference similarity. The face authentication is facilitated, the camera is not limited during face registration, and the face registration convenience is improved.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to a face recognition method, a neural network training method, a device, and electronic equipment. Background technique [0002] With the rapid development of artificial intelligence and the vehicle industry, applying the latest artificial intelligence technology to mass-produced vehicles has become one of the most promising directions in the market. The artificial intelligence products currently demanded by the vehicle market include but are not limited to assisted driving systems, driver monitoring systems, and vehicle operation management systems. These market demands usually require the recognition of the driver's face and subsequent management and control based on this, but there is currently a lack of corresponding technical means. Contents of the invention [0003] The present disclosure provides a technical solution for face recognition and a techni...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06V40/168G06V40/172
Inventor 王飞钱晨
Owner BEIJING SENSETIME TECH DEV CO LTD
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