Method and device for detecting infrared image and depth image and face recognition system

A depth image and infrared image technology, applied in image analysis, image data processing, character and pattern recognition, etc., can solve the problem of depth image misplacement, misrecognition result, misplacement, etc., to improve efficiency and accuracy Effect

Pending Publication Date: 2020-12-04
SHENZHEN ORBBEC
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the current technology, the IR image and the depth image usually share a camera to collect the image, and put the collected image into the corresponding face recognition algorithm program for processing to complete the face recognition; however, in practical applications, it is easy to occur Mistaking the IR image as a depth image and putting it into the live face recognition algorithm based on the depth image by mistake, or putting the depth image into the face recognition algorithm based on the IR image by mistake, resulting in wrong recognition results

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
  • Method and device for detecting infrared image and depth image and face recognition system
  • Method and device for detecting infrared image and depth image and face recognition system
  • Method and device for detecting infrared image and depth image and face recognition system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to make the technical problems, technical solutions and beneficial effects to be solved by the embodiments of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0043] It should be noted that when an element is referred to as being “fixed” or “disposed on” another element, it may be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element. In addition, the connection can be used for both fixing and circuit communication.

[0044] It is to be understood that the terms "length", "width", "top", "bottom", "front", "rear", "left", ...

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 method and device for detecting an infrared image and a depth image, and a face recognition system. The method comprises the steps: S100, obtaining a to-be-detected image which is collected by a camera and contains a target; s110, performing binarization processing on the to-be-detected image obtained in the step S100 to obtain a binarized image; s120, traversing and calculating the area of a connected region formed by pixel points of which the pixel values are continuously 0 in a target region of the binarized image; and S130, comparing the area of the connected region with a preset area threshold; when the area of the connected region is greater than the preset area threshold, determining that the to-be-detected image is a depth image, and when the area of the connected region is less than the preset area threshold, determining that the to-be-detected image is an infrared image. According to the invention, the infrared image and the depth image can be accurately and effectively distinguished, and then the infrared image and the depth image are input into the corresponding face recognition model after being distinguished, so that the face recognition efficiency and accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a method, device and face recognition system for detecting infrared images and depth images. Background technique [0002] Face recognition has gradually entered people's daily lives, such as in security checks, transportation, and even payment by face recognition. Face recognition is a biometric identification technology based on the facial feature information of the human face. By using a camera or camera to collect images or video stream data containing human faces, and process them according to the corresponding algorithm program, the detected A series of activities such as face recognition. [0003] Generally speaking, RGB images (color images), IR images (grayscale images) and depth images (depth images) are often used for face recognition, and different images should be processed and recognized by different algorithms; among them, RGB images need to be pr...

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): G06K9/00G06K9/32G06T7/13
CPCG06T7/13G06V40/166G06V10/25
Inventor刘畅
OwnerSHENZHEN ORBBEC