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

Face illumination invariant feature extraction method based on Laplacian operator

A technology of constant illumination and feature extraction, applied in computing, computer parts, instruments, etc., can solve problems such as reducing the correct recognition rate, large differences, and misjudgment by the face recognition system, achieving fast recognition speed, simple method, The effect of high recognition rate

Inactive Publication Date: 2017-07-07
CHONGQING THREE GORGES UNIV
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The face images of the same person will be very different due to different lighting; while the face images belonging to different people may have little difference due to the influence of lighting, which will lead to misjudgment by the face recognition system and reduce the accuracy. Recognition rate

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 illumination invariant feature extraction method based on Laplacian operator
  • Face illumination invariant feature extraction method based on Laplacian operator
  • Face illumination invariant feature extraction method based on Laplacian operator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.

[0031] see Figure 1-4 , a face illumination invariant feature extraction method based on Laplacian operator, comprising the following steps:

[0032] (1) Use the Laplacian operator to sharpen the face image and extract the face detail features;

[0033] (2) Carry out division operation with the corresponding pixels of the original image to eliminate the slowly changing face illumination part, and the result obtained is the face illumination invariant feature that needs to be extracted.

[0034] According to the light reflection model, any grayscale face image I(x,y) is the product of the reflection component R(x,y) and the light component L(x,y), that is, I(x,y)=R(x,y) y) L(x, y); in the step (1), during the sharpening process,

[0035] Applying the Laplacian operator The template is used to sharpen the detail features of the face image, and ...

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 illumination invariant feature extraction method based on a Laplacian operator, and belongs to the technical field of mode identification. The method comprises the following steps that the Laplacian operator is used to sharpen a face image, and detail features of the face are extracted; and the sharpened image is divided by a corresponding pixel of the original image to eliminate a slowly-change face illumination part and obtain a face illumination invariant feature which needs extracting. According to the method of the invention, illumination of different angles can be inhibited to certain extent, and the identification rate of the processed face image is higher than the face identification rate processed by a present algorithm; illumination processing is carried out on the face image by utilizing the Laplacian operator and the division, the method is simple and the identification speed is high.

Description

technical field [0001] The invention belongs to the technical fields of image processing and pattern recognition, and in particular relates to a method for extracting features invariant to illumination of a human face based on a Laplacian operator. Background technique [0002] As an important aspect of biometric identification, face recognition has broad application prospects in file management systems, security verification systems, credit card verification, criminal identification in public security systems, monitoring of banks and customs, and human-computer interaction. In face recognition technology, illumination is still one of the main factors affecting the recognition rate. The face images of the same person will be very different due to different lighting; while the face images belonging to different people may have little difference due to the influence of lighting, which will lead to misjudgment by the face recognition system and reduce the accuracy. Recognition...

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
CPCG06V40/168
Inventor 聂祥飞王元元何雪熊文怡杨志军
Owner CHONGQING THREE GORGES UNIV
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