Face recognition method and equipment

A face recognition, first face technology, applied in the field of face recognition, can solve the problems of slow algorithm operation, lower identification recognition rate, difficulty in selecting sample triples, etc.

Pending Publication Date: 2020-03-24
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, since the deep learning of convolutional neural networks requires a large amount of training data, it is difficult to select triplets of difficult samples, so it is prone to over-fitting of the network and reduces the recognition rate of identity rec

Method used

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  • Face recognition method and equipment
  • Face recognition method and equipment
  • Face recognition method and equipment

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Embodiment Construction

[0047] The technical solutions in the embodiments of the present application are described in more detail below.

[0048] see figure 1, is a schematic diagram of a face recognition system architecture provided in an embodiment of the present application. The system includes a mobile terminal and a vehicle-mounted face recognition device, and the mobile terminal and the face recognition device can communicate through a network. Specifically, the mobile terminal is usually equipped with a visible light camera, which can acquire the face image of the user in the visible light mode. see figure 2 , is a schematic diagram of acquiring a face image provided by the embodiment of the present application. Wherein, the acquired face image is a face image in a visible light mode, and the user can use the face image for identity entry and identity authentication. The mobile terminal can send the face image to the vehicle-mounted face recognition device through the network for storage. ...

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Abstract

The embodiment of the invention discloses a face recognition method and equipment , and the method comprises the steps: obtaining a first face image and a second face image, enabling the first face image to be a current face image obtained by a camera, and enabling the second face image to be a stored reference face image; judging whether the mode of the first face image is the same as the mode ofthe second face image or not; if the mode of the first face image is different from the mode of the second face image, respectively mapping the first face image and the second face image to a cross-modal space to obtain a first sparse face feature of the first face image in the cross-modal space and a second sparse face feature of the second face image in the cross-modal space; and performing face recognition on the first face image according to the first sparse face feature and the second sparse face feature. According to the embodiment of the invention, the cross-modal face recognition speed can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a face recognition method and device. Background technique [0002] Due to the non-contact nature of face recognition, a biometric-based recognition technology, it has broad development and application prospects in the vehicle field. Vehicle face recognition refers to the technology of using the internal camera of the vehicle for identity confirmation or identity search. The traditional face recognition technology acquires face images in the visible light mode. Since there are often poorly illuminated scenes such as garages and nights in vehicle scenes, face images in visible light mode are used in vehicle scenes to identify people. The recognition rate of identity recognition is low, so in most cases in the car scene, a near-infrared camera that is not affected by ambient light is used. [0003] The near-infrared camera emits infrared light invisible to the naked e...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06V10/772
CPCG06V40/168G06V10/40G06V10/513G06F18/28G06V40/172G06V10/772G06F18/217
Inventor 黄晓林黄为刘刚胡鑫
Owner HUAWEI TECH CO LTD
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