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

Method and device for recognizing human face in fog day image

A recognition method and technology in images, applied in the field of image recognition, can solve problems such as poor image processing effect, achieve the effect of small calculation amount of dehazing, ensure efficiency and speed, and improve recognition efficiency

Inactive Publication Date: 2013-04-24
信帧机器人技术(北京)有限公司
View PDF5 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to provide a face recognition method and recognition device in a foggy image to solve the problem that the face recognition method and recognition device in the prior art have a poor effect on image processing taken outdoors in foggy weather

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 recognizing human face in fog day image
  • Method and device for recognizing human face in fog day image
  • Method and device for recognizing human face in fog day image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] An embodiment of the present invention provides a face recognition device in a foggy image, figure 1 is a schematic diagram of a face recognition device in a foggy image according to an embodiment of the present invention, as figure 1 As shown, the face recognition device in the foggy image includes: an image defogging module 11, which is used to process the input color image using the dark channel priority defogging method, and the processed image is the first image; a human face detection module 12 , for using a preset face detector to perform face detection on the first image, and extract the face image in the first image; the face recognition module 13 is used to adopt an algorithm combining principal component analysis and linear discriminant analysis Recognize the face image and output the recognition result.

[0025] The face recognition device in the foggy image of the present invention is aimed at the need to start the defogging process before the face recogni...

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 provides a method and a device for recognizing a human face in a fog day image. The method for recognizing the human face in the fog day image comprises a first step of processing an input color image by utilizing a dark channel priority defogging method and regarding the processed image as a first image, a second step of detecting the human face in the first image by using a preset human face detector to extract a human face image in the first image, and a third step of recognizing the human face image by adopting an algorithm which combines principal component analysis and linear identification analysis to output the recognizing result. Defogging process is started before the human face is recognized aiming at the image shot at a specific scene in a foggy day, defogging calculated amount is small, so that efficiency and speed of image process are guaranteed, recognizing efficiency in foggy environment is effectively improved, the purpose that the human face recognizing is not affected by the foggy environment is guaranteed, and human face recognizing effect is guaranteed.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a face recognition method and recognition device in a foggy image. Background technique [0002] Face recognition is an important research topic in the field of biometrics and image processing. It has broad application prospects in the fields of security, commerce and economy, such as criminal investigation, document verification, population control and video surveillance. [0003] However, in the case of foggy weather, due to the reduced visibility of the scene, the contrast and edge features of the image face are attenuated, which affects the subsequent face feature extraction and recognition, and even leads to the failure of the face detection algorithm. Therefore, it is necessary to Remove the effect of haze on the scene image in the video image. The current face recognition methods and recognition devices are relatively poor in processing images taken outdoors in foggy weat...

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 Applications(China)
IPC IPC(8): G06K9/00
Inventor 刘忠轩何小波
Owner 信帧机器人技术(北京)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