Method of face illumination invariant feature extraction based on smoothing filtering

A technology of smooth filtering and constant illumination, applied in the field of pattern recognition, can solve problems affecting the robustness of the face recognition system, and achieve the effect of fast recognition speed, simple method and high recognition rate

Inactive Publication Date: 2017-07-28
CHONGQING THREE GORGES UNIV
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the impact of illumination changes on face recognition is particularly large. The difference between the same face image under different illumination conditions is often greater than the difference

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 of face illumination invariant feature extraction based on smoothing filtering
  • Method of face illumination invariant feature extraction based on smoothing filtering
  • Method of face illumination invariant feature extraction based on smoothing filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.

[0029] see Figure 1-4 , a face illumination invariant feature extraction method based on smoothing filter, comprising the following steps:

[0030] (1) Process the face image by smoothing filter;

[0031] (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.

[0032] According to the light reflection model, any grayscale face image I(x,y) can be regarded as the product of the reflection component R(x,y) and the light component L(x,y), that is, I(x,y)=R (x,y)L(x,y); In the step (1), a smoothing filter 3×3 template is applied The processed face image I' is obtained.

[0033] In the described step (2), the division operation is R(x, y) represents the key informati...

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 for extracting a face illumination invariant feature based on smoothing filtering. The method includes the steps of processing a face image using smoothing filtering; and dividing the processed image by a pixel corresponding to the original image, eliminating a face illumination part that slowly changes and obtaining the face illumination invariant feature that needs to be extracted. The invention has a certain inhibitory effect on the illumination of different angles, and the recognition rate of the processed face image is higher than that of the existing algorithm. According to the invention, the illumination processing is performed for the face image by the smoothing filtering and the division operation, the method is simple and the recognition speed is high.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a smoothing filter-based method for extracting human face illumination invariant features. Background technique [0002] With the continuous progress of society and the urgent need for fast and effective automatic identity verification, biometric technology has developed rapidly in recent decades. The current biometric recognition technologies mainly include: fingerprint recognition, iris recognition, face recognition and so on. Compared with other recognition methods, face recognition has been widely researched and applied due to its direct, friendly and convenient features. However, the impact of illumination changes on face recognition is particularly large. The difference between the same face image under different illumination conditions is often greater than the difference between different face images under the same illumination condition, so the illumination ...

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): G06K9/00G06K9/44G06K9/46
CPCG06V40/168G06V10/34G06V10/60
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 Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap