Image processing method and device, face recognition method, and computer equipment

A target image, face image technology, applied in the field of image processing, can solve the problem of low model reduction degree of removal

Active Publication Date: 2018-11-20
腾讯云计算(长沙)有限责任公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Based on this, it is necessary to provide an image processing method, a face recognition method, a device, a computer device and a readable storage medium for the technical problem of low restoration based on the traditional glasses removal model

Method used

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  • Image processing method and device, face recognition method, and computer equipment
  • Image processing method and device, face recognition method, and computer equipment
  • Image processing method and device, face recognition method, and computer equipment

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Embodiment Construction

[0074] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0075] figure 1 It is an application environment diagram of an image processing method and / or a face recognition method in an embodiment. refer to figure 1 , the image processing method is applied to an image processing system. The image processing system includes a terminal or server 110 . Specifically, the terminal may be a desktop terminal or a mobile terminal, and the mobile terminal may specifically be at least one of a mobile phone, a tablet computer, or a notebook computer; the server may specifically be a server or a server cluster. The terminal or server 110 i...

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Abstract

The invention relates to an image processing method and device, a face recognition method, and computer equipment. The image processing method includes the steps of acquiring a target image with glasses; inputting the target image to a glasses removal model trained based on a generated antagonistic network, wherein the glasses removal model includes a plurality of convolution-contraction excitation networks which are connected in order; obtaining a characteristic map of each characteristic channel of the target image via a convolution layer of the convolution-contraction excitation network, wherein the characteristic map is used as the input of a contraction excitation layer of the convolution-contraction excitation network; obtaining the global information of each characteristic channel by shrinking the excitation layer, learning the global information to generate the weight of each characteristic channel; by a weighting layer of the convolution-contraction excitation network, respectively weighting the characteristic map of each characteristic channel according to the weight to generate a weighted characteristic map; generating a glasses removal image corresponding to the targetimage by the glasses removal model. The glasses in the image can be effectively removed by the method.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image processing method, face recognition method, device, computer equipment and readable storage medium. Background technique [0002] With the application of image processing technology more and more widely, using image processing technology to remove useless information in the image and obtain the desired image has become a research hotspot in current image processing. For example, in identity verification systems such as public transportation security verification systems and credit card verification systems, when the person to be verified wears glasses, it is usually necessary to remove the glasses before identifying them, or to remove the glasses from the collected face images before performing identification. verify. [0003] However, the network learning ability of the traditional glasses removal model is low, and it is difficult to ensure that the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06V10/30G06V10/764G06V10/774
CPCG06V40/172G06F18/214G06T5/005G06T2207/20084G06N3/084G06V40/171G06V10/30G06V10/82G06V10/764G06V10/774G06N3/047G06N3/045G06T5/20
Inventor 邰颖曹赟丁守鸿李绍欣汪铖杰李季檩
Owner 腾讯云计算(长沙)有限责任公司
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