Depth map prediction-based living body detection method and related equipment

A technology of living body detection and depth map, applied in the field of biometrics, can solve the problems that depth map cannot be well detected, low detection efficiency, easy to interfere with matching, etc., so as to reduce the interference of background noise, improve accuracy, and improve accuracy. sexual effect

Active Publication Date: 2021-07-16
新疆爱华盈通信息技术有限公司
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AI Technical Summary

Problems solved by technology

When there is a lot of background noise in the shooting environment, the matching is easily disturbed. Therefore, the final depth map cannot be used for live detection well, resulting in low detection efficiency.

Method used

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  • Depth map prediction-based living body detection method and related equipment
  • Depth map prediction-based living body detection method and related equipment
  • Depth map prediction-based living body detection method and related equipment

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[0053] The present invention provides a living body detection method based on depth map prediction and related equipment. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0054] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elemen...

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Abstract

The invention discloses a depth map prediction-based living body detection method and related equipment. The method comprises the following steps: acquiring a first infrared map and a second infrared map for the same shot object; inputting the first infrared image and the second infrared image into a trained depth model to respectively obtain a first feature image and a second feature image; generating a target depth map according to the first feature map and the second feature map; inputting the target depth map into a pre-trained first classification model to generate a first classification result; inputting the first infrared image or the second infrared image into a trained second classification model to obtain a second classification result, and according to the first classification result and the second classification result, determining whether the subject is a living body. The invention provides the depth map generation method with higher precision, and the depth map is obtained based on the image shot by the infrared binocular camera, so that on one hand, the equipment cost is saved, and on the other hand, the accuracy of subsequent in-vivo detection based on the depth map and the infrared map can be improved.

Description

technical field [0001] The invention relates to the technical field of biometric identification, in particular to a method for detecting a living body based on depth map prediction and related equipment. Background technique [0002] With the development and progress of technology, there are more and more authentication devices based on face recognition. For example, access control systems based on face recognition, boot systems, etc. Its main principle is to collect images of the environment, and then use a certain face recognition algorithm or face recognition model to extract the face features of the collected images and compare them with pre-saved standard images to verify the human presence in the environment. identity. [0003] Since the current face recognition is carried out through photos, non-living bodies such as mobile phone faces, printed paper, and printed faces may use facial features close to real faces to make the face recognition algorithm or model judge ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/62
CPCG06V40/172G06V40/168G06V40/45G06V10/30G06F18/241G06F18/214
Inventor 盛鹏周有喜
Owner 新疆爱华盈通信息技术有限公司
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