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

Face recognition method and system for binocular camera

A face recognition system and binocular camera technology are applied in the field of face recognition systems of binocular cameras, which can solve the problems of deception and insufficient recognition accuracy, and achieve the effect of improving the accuracy.

Inactive Publication Date: 2019-08-30
安徽柏络智能科技有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a face recognition method and system of a binocular camera, collect different face images through the left and right cameras in the binocular camera, perform two-dimensional feature point calibration, and use the calibrated parameters to construct a three-dimensional feature input to Recognition by neural network solves the problem that the existing face recognition adopts two-dimensional recognition, it is easy to deceive through photos, and the recognition accuracy is insufficient

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
  • Face recognition method and system for binocular camera
  • Face recognition method and system for binocular camera
  • Face recognition method and system for binocular camera

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0031] see figure 1 As shown, the present invention is a face recognition method and system of a binocular camera, including a binocular camera, a processor inside the binocular camera and a comparison data platform, and a left camera and a right camera are arranged on the binocular camera ; The left camera and the right camera are on the same horizontal line; the face recognition method includes the following steps:

[0032] Step S01: the left and right cameras o...

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 face recognition method and system for a binocular camera, and relates to the field of face feature recognition. The method comprises the following steps: S01, a left cameraand a right camera of an eye camera simultaneously complete face two-dimensional image acquisition; S02, performing two-dimensional feature on the two-dimensional image by using an active shape modeltechnology in a processor; S03, obtaining three-dimensional coordinates of the feature points by combining camera calibration parameters; S04, sending the calibrated three-dimensional coordinates to acomparison data platform; s05, performing identification by using a data platform neural network; s06, feeding back an identification result to the processor; and S07, the processor controlling the equipment to execute related operation. According to the method, the left camera and the right camera in the binocular cameras are used for collecting different face images, two-dimensional feature point calibration is carried out, calibrated parameters are used for constructing three-dimensional features, the three-dimensional features are input into the neural network for recognition, and compared with existing two-dimensional recognition, the recognition accuracy is improved, and the situation that pictures are used for deception is avoided.

Description

technical field [0001] The invention belongs to the field of face feature recognition, and in particular relates to a face recognition method of a binocular camera and a face recognition system of a binocular camera. Background technique [0002] At present, face recognition technology is widely used in TVs and various electronic display products. Due to its convenient and unique biometric performance, it has an indispensable place in the application of future TV functions. In particular, as a household appliance such as a TV, the family members it faces have some differences in the application environment of ordinary face recognition, that is, it is very easy for family members to obtain mutual personal information, such as photos of faces. , so that face recognition can be deceived through effective photos, making the application of face recognition on these products flawed. [0003] The application of existing face recognition technology on TV and various electronic dis...

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
CPCG06V40/161G06V40/168
Inventor 张杰杨少军
Owner 安徽柏络智能科技有限公司
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