|Table of Contents|

A Multi-Face Feature Extraction Method Based onHOG-SIFT Feature Fusion Optimization(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2020年03期
Page:
43-49
Research Field:
计算机科学与技术
Publishing date:

Info

Title:
A Multi-Face Feature Extraction Method Based onHOG-SIFT Feature Fusion Optimization
Author(s):
Wang Fan1; 2; Shen Shibin1; 3; Zhang Yue1; 2; Xie Fei1; 2; 3; Lu Fei1; 2; Liu Yijian1; 2; 3
(1.School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210023,China)(2.Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing,Nanjing Normal University,Nanjing 210023,China)(3.Nanjing Industry Institute for Advanced Intelligent Equipment,Nanjing 210042,China)
Keywords:
face recognition; feature extraction; multi-face feature; complex background
PACS:
TP391.41
DOI:
10.3969/j.issn.1672-1292.2020.03.008
Abstract:
Aiming at the problem that the effect of face feature extraction in dim light and complex backgrounds is easily affected by the interence of environmental factors,bilateral filter is firstly exploited in the process of face image preprocessing,and the illumination interference suppression method of face image based on self-quotient image theory is further studied. Secondly,a multi-face feature extraction method based on HOG-SIFT fusion optimization is proposed with the combination of the better globality of HOG features and the better adaptability of SIFT feature under complex background. Finally,the experimental results show that the proposed method can effectively extract multi-face features in dark light environment and complex background.

References:

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Last Update: 2020-09-15