Image feature information replacement method and device, equipment and medium

Abstract

The image feature information replacement method provided by the embodiment of the invention can be applied to a computer vision technology (CV), and comprises the following steps: acquiring a first image in which a first object is recorded; acquiring first preset image information, wherein the first preset image information is preset information; and a second image is acquired according to the first preset image information and the first image, the first object is recorded in the second image, and the second feature information of the second image is different from the first feature information of the first image. The invention further provides a device, equipment and a medium. By superposing the first preset image information in the first image, the image feature information of the firstimage is changed, so that although the first object is recorded in the second image, the correct image feature information of the first object cannot be extracted, thereby realizing the confrontationof an image file to an image recognition algorithm, and protecting the privacy of a user.

Description

technical field [0001] The present invention relates to the field of electronic technology, and more specifically, to a method, device, equipment and medium for replacing image feature information. Background technique [0002] Computer Vision Technology (Computer Vision, CV) Computer vision 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 graphics processing, so that the computer processing becomes an image that is more suitable for human observation or sent to the instrument for detection. Computer vision technology usually includes image processing, image recognition, image semantic understanding, image retrieval, OCR, video processing, video semantic understanding, video content / behavior recognition, 3D object reconstruction, 3D technology, virtual reality, augmented reality, simultaneous positioning and maps It al...

AI Technical Summary

Problems solved by technology

This poses a great challenge to the user's image security. Criminals may steal the user's personal photos to extract the user's facial feature information, and then use these facial feature information to crack the user's application permissions, obtain user privacy, and bring users a big security risk

[0004] In view of the above problems, in the prior art, it is mainly to add a living body detection step in the face recognition process to ensure that the currently recognized face is the user's own face. However, for some low-cost face recognition technologies that do not have the live body detection function , since the image itself does not have the ability to extract facial feature information against criminals, user privacy is threatened

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