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

Binocular stereo vision-based human face detection method, device and system

A binocular stereo vision and face detection technology, applied in the field of face recognition, can solve problems such as mismatching, and achieve the effects of stable and reliable performance, low cost, and simple installation and maintenance.

Active Publication Date: 2015-08-12
BEIJING HISIGN TECH
View PDF4 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] The technical problem to be solved by the present invention is how to make the human face liveness detection pass the human face liveness detection without depending on the cooperation of the user's actions, so as to solve the problem that the user may not cooperate

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
  • Binocular stereo vision-based human face detection method, device and system
  • Binocular stereo vision-based human face detection method, device and system
  • Binocular stereo vision-based human face detection method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] Such as figure 1 As shown, the present embodiment discloses a face detection method based on binocular stereo vision, and the method may include the following steps:

[0040] 101. According to the face video data collected by the first camera and the second camera, determine whether the face is within the preset common field of view of the first camera and the s...

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 discloses a binocular stereo vision-based human face detection method, device and system. The method comprises a step of collecting human face video data according to a first pick-up head and a second pick-up head and determining whether or not a human face is in a preset common visual range of the first pick-up head and the second pick-up head; a step of generating a human face image depth map according to the human face video data if the human face is in the preset common visual range of the first pick-up head and the second pick-up head; a step of determining whether or not the human face image depth map forms a human face three-dimension structure diagram according to a preset three-dimension structure classification rule; and a step of indicating that the human face is a face of a living body if the human face image depth map forms the human face three-dimension structure diagram. With the binocular stereo vision-based human face detection method, device and system, the detection of the human face of the living body can be performed without depending on motion cooperation of a user, and a problem that the user may be not cooperative is solved.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face detection method based on binocular stereo vision. Background technique [0002] With the gradual application of face recognition technology in the identity authentication neighborhood, counterfeit attacks (or copy attacks) pose a great threat to related face authentication systems, and also have adverse effects on the application of face authentication systems. . The live face detection technology is just a security technology to prevent attackers from using photos or videos to pretend to be other people to interact with computers. In many applications that rely on face for automatic authentication, in order to avoid computer being cheated by attackers and causing unnecessary losses, stable and reliable face detection is required. [0003] In the prior art, many human face liveness detection methods have been proposed by means of texture analysis, background an...

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
IPC IPC(8): G06K9/00
Inventor 刘晓春何智翔孙英贺王贤良
Owner BEIJING HISIGN TECH
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