Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Liveness 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 effect of fast speed, good user experience, and improved detection rate.

Active Publication Date: 2019-06-07
SHANGHAI YITU INFORMATION TECH CO LTD
View PDF4 Cites 0 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Liveness Detection Method Based on Attitude Information
  • A Liveness Detection Method Based on Attitude Information
  • A Liveness Detection Method Based on Attitude Information

Examples

Experimental program
Comparison scheme
Effect test

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] Such as 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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a living body detection method based on gesture information, comprising: 1) detecting the position of a human face on each frame of an image in an input video; 2) obtaining key points of the human face and the shape of the human face formed by the key points; The 3D model of the human face carries out normalization processing to the shape of the human face, and obtains the rotation angle of the shape of the human face relative to the 3D model of the human face; Whether the curve meets the setting requirements, if so, then perform step 5), if not, then judge as a false face, and exit; 5) judge whether the area ratio of the human face skin color area in a frame image with the largest rotation angle is greater than K, if so, Then it is judged as a real face, and if not, it is judged as a false face. Compared with the prior art, the present invention has the advantages of low false alarm 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 attitude 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 experienc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/167G06V40/176G06V40/172
Inventor 陈远浩
Owner SHANGHAI YITU INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com