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Camera correction method and device, electronic device and storage medium

A camera and image technology, applied in the field of image processing, can solve problems such as time-consuming and low efficiency, time-consuming, binocular camera detection time-consuming, etc.

Active Publication Date: 2020-01-31
UNIVERSAL UBIQUITOUS TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Generally, the face detection algorithm takes about 10 times more time than the face key point regression algorithm.
In the current binocular cameras, it is generally necessary to use both cameras to detect faces, which increases the detection time in the face recognition process. The time-consuming and inefficient use of binocular cameras for face detection is the current binocular The main problems of the camera in face recognition
[0004] It can be seen that the existing binocular cameras have the technical problems of long detection time and low efficiency

Method used

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  • Camera correction method and device, electronic device and storage medium
  • Camera correction method and device, electronic device and storage medium
  • Camera correction method and device, electronic device and storage medium

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Embodiment Construction

[0046] Embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

[0047]Embodiments of the present disclosure are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The present disclosure can also be implemented or applied through different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, al...

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Abstract

The embodiment of the invention provides a camera correction method and device, an electronic device and a storage medium, and belongs to the technical field of image processing. The method comprisesthe following steps: acquiring an overlap rate of a first identification frame area in a first camera and a second identification frame area in a second camera, wherein the overlap rate comprises a ratio of an intersection area to a union area between the first identification frame area and the second identification frame area; judging whether the coincidence rate is greater than or equal to a preset threshold; and if the coincidence rate is smaller than a preset threshold, debugging the first camera and the second camera according to a preset rule, so that the coincidence rate corresponding to the first camera and the second camera is greater than the preset threshold. According to the scheme of the invention, the alignment effect of the binocular camera or even the multi-view camera is displayed in real time in a data form, and each camera is debugged to achieve the optimal alignment effect, so that it is ensured that only one view camera is needed to obtain the face recognition frame in practical application, the detection time of other cameras is saved, and the face recognition passing speed is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a camera correction method, device, electronic equipment and storage medium. Background technique [0002] At present, face recognition technology is widely used in various electronic display products. In face recognition technology, face recognition may be attacked by counterfeit faces such as mobile phones, printed paper, computer screens, face masks, 3D models, etc., and in order to prevent these effects, liveness detection technology is currently used to defend against these attacks. Currently, binocular cameras are used in face recognition devices, one for face recognition and one for liveness detection. The camera used for live detection can be an IR camera, a 3D structured light camera, a TOF depth camera, etc. [0003] Currently, a device using a binocular camera needs to detect faces in the binocular image separately, and find the position of the face ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N17/00G06K9/00
CPCH04N17/002G06V40/166
Inventor 郑东李佳杞赵拯赵五岳
Owner UNIVERSAL UBIQUITOUS TECH CO LTD