In-vivo detection method based on attitude information

A technology of living body detection and posture information, applied in the field of face detection, can solve problems such as unnatural movements and poor user experience, and achieve the effects of fast speed, good user experience, and improved detection rate.

Active Publication Date: 2015-07-22
SHANGHAI YITU INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, common methods require users to complete actions such as closing eyes, opening mouth, and frowning.
These actions are not natural enough and the user experience is not good

Method used

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  • In-vivo detection method based on attitude information
  • In-vivo detection method based on attitude information

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Embodiment Construction

[0038] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0039] like figure 1 As shown, the present embodiment provides a living body detection method based on posture information, including:

[0040] Step S01, using the AdaBoost classifier to detect the position of the face on each frame of the input video. The input video is a 3-5 second face video rotated under a specified command.

[0041] Step S02, the specific process of obtaining key points of the face is as follows:

[0042] 201) The first round of key point detection is performed using the combination of HoG and SVM, and each key point has K choices;

[0043] 202) Utilize the gl...

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Abstract

The invention relates to an in-vivo detection method based on attitude information. The method comprises the following steps: (1) detecting a face position on each frame image in an input video; (2) acquiring facial key points and a face shape formed by the key points; (3) performing normalization processing on the face shape based on a 3D face model, and acquiring a rotating angle of the face shape relative to the 3D face model; (4) connecting rotating angles of multiple continuous frame images to form a curve, judging whether the curve meets the set requirement, if so, executing a step (5), otherwise, judging that the face is a false face, and exiting; and (5) judging whether the area of a face color area in a frame image with the largest rotating angle is larger than K, if so, judging that the face is a real face, otherwise, the face is a false face. Compared with the prior art, the method disclosed by the invention has the advantages of low false positive rate, high speed and the like.

Description

technical field [0001] The invention relates to a face detection technology, in particular to a living body detection method based on posture information. Background technique [0002] As a kind of identity authentication technology, face recognition has been successful in the fields of public security, attendance and access control. However, traditional face recognition technology does not consider the authenticity of the target face, so it is vulnerable to false face attacks. If the fake face attack is successful, it may cause heavy losses to users, so reliable and efficient face liveness detection technology has become an important part of the face verification system. [0003] Liveness detection methods based on human-computer interaction are more and more widely used due to their high reliability. However, common methods require the user to complete actions such as closing eyes, opening mouth, and frowning. These actions are not natural enough and the user experience...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/167G06V40/176G06V40/172
Inventor 陈远浩
Owner SHANGHAI YITU INFORMATION TECH CO LTD
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