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

Illumination invariant face feature extraction method by means of logarithmic transformation and smoothing filtering

A technology with smooth filtering and constant illumination, applied in the field of pattern recognition, to achieve the effect of simple method, high recognition rate and fast recognition speed

Inactive Publication Date: 2017-07-21
CHONGQING THREE GORGES UNIV
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This multidisciplinary feature has also brought great difficulties and challenges to the majority of researchers.

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
  • Illumination invariant face feature extraction method by means of logarithmic transformation and smoothing filtering
  • Illumination invariant face feature extraction method by means of logarithmic transformation and smoothing filtering
  • Illumination invariant face feature extraction method by means of logarithmic transformation and smoothing filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.

[0032] see Figure 1-4 , a face illumination invariant feature extraction method using logarithmic transformation and smoothing filter, comprising the following steps:

[0033] (1) Transform the original image into the logarithmic domain;

[0034] (2) In the logarithmic domain, the face image is smoothed by smoothing filter;

[0035] (3) Subtract it from the original image in the logarithmic domain to eliminate the illumination component, and the result is the illumination-invariant feature of the face that needs to be extracted.

[0036] As a further solution of the present invention: according to the illumination reflection model, any grayscale face image I(x, y) can be regarded as the product of the reflection component R(x, y) and the illumination component L(x, y), that is, I (x, y)=R(x, y)L(x, y); In the step (1), the face image is logarit...

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 an illumination invariant face feature extraction method by means of logarithmic transformation and smoothing filtering. The illumination invariant face feature extraction method comprises following steps of transforming a face image to a log domain; processing the face image by means of smoothing filtering; subtracting an original image from the processed image to eliminate the illumination component, and obtaining the result which is the illumination invariant face feature which needs to be extracted. The illumination invariant face feature extraction method has certain inhibiting effect on illumination from different angles, and the recognition rate of the face image processed by the above method is higher than that of the face image processed by an existing algorithm. According to the invention, the face image is subjected to illumination processing by means of logarithmic transformation and smoothing filtering, the method is simple, and the recognition rate is fast.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a face illumination invariant feature extraction method using logarithmic transformation and smoothing filter. Background technique [0002] Face recognition is currently a research hotspot in the field of pattern recognition and graphic image processing. It simulates the recognition ability of human vision. Its research scope involves many disciplines such as pattern recognition, image processing, physiology, psychology, and cognitive science. , and even involves the fields of human cognition and neurology. This multidisciplinary feature has also brought great difficulties and challenges to the majority of researchers. The test of the actual face recognition system shows that the three major issues of illumination, posture and expression have always been important factors affecting the accuracy of face recognition. Among them, posture and expression are internal fac...

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): G06K9/00G06K9/40G06K9/44G06K9/46
CPCG06V40/168G06V10/30G06V10/34G06V10/60
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