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Image processing method, device and apparatus and storage medium

An image processing and image technology, applied in the field of face recognition, can solve the problem of low recognition accuracy

Pending Publication Date: 2020-12-04
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most of the existing face recognition algorithms are based on color face images for recognition, but with the complexity of application scenarios and the requirements for recognition security, existing solutions have problems such as low recognition accuracy

Method used

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  • Image processing method, device and apparatus and storage medium
  • Image processing method, device and apparatus and storage medium
  • Image processing method, device and apparatus and storage medium

Examples

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Embodiment Construction

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0059] Computer Vision technology (Computer Vision, CV) is a science that studies how to make machines "see". More specifically, it refers to machine vision that uses cameras and computers instead of human eyes to identify, track and measure targets, and further Do graphics processing, so that computer processing is called an image that is more suitable for human eyes to observe or sent to the instrument for detection. As a scientific discipline, computer vision studies related theories and technologies, trying to build artificial intelligence systems that can obtain information from images or multidimensional data. Computer vision technology usually includes image processing, image recognition, image semantic understanding, image retrieval, video processing, video semantic un...

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Abstract

The embodiment of the invention discloses an image processing method, device and apparatus, and a storage medium. The method can comprise the steps that: a color face image and a depth face image comprising a target user face are obtained, and the color face image and the depth face image have an association relation, wherein the association relation means that the color face image and the depth face image are used for reflecting the same face form of a target user in the same scene; feature extraction is performed on the color face image to obtain a first feature; denoising processing is carried out on the depth face image, and normal information calculation is carried out on the depth face image after denoising processing to obtain a normal face image; feature extraction is performed onthe normal face image to obtain a second feature; feature fusion processing is performed on the first feature and the second feature to obtain a fused feature; and target identity information corresponding to the target user is determined based on the fused feature. By adopting the embodiment of the invention, the accuracy of face recognition can be improved.

Description

technical field [0001] The present application relates to face recognition technology in computer vision of artificial intelligence, and in particular to an image processing method, device, equipment and storage medium. Background technique [0002] With the development of artificial intelligence technology, face recognition has gradually become a convenient and fast identity authentication method. Individual faces have a greater degree of discrimination. Face recognition has a wide range of applications in daily life, and is commonly found in security monitoring systems at train stations and airports, access control systems in office buildings, and mobile phone software. [0003] Most of the existing face recognition algorithms are based on color face images for recognition, but with the complexity of application scenarios and the requirements for recognition security, the existing solutions have problems such as low recognition accuracy. Therefore, in the field of face r...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/46G06K9/62
CPCG06V40/172G06V40/168G06V10/30G06V10/56G06F18/253
Inventor 穆国栋沈鹏程
Owner TENCENT TECH (SHENZHEN) CO LTD
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