[1]翟社平,李炀,马蒙雨,等. 基于LBP和SVM的人脸检测[J].计算机技术与发展,2017,27(09):44-47.
　ZHAI She-ping,LI Yang,MA Meng-yu,et al. Face Detection Based on LBP and SVM[J].,2017,27(09):44-47.
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 基于LBP和SVM的人脸检测()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年09期
页码:
44-47
栏目:
智能、算法、系统工程
出版日期:
2017-09-10

文章信息/Info

Title:
 Face Detection Based on LBP and SVM
文章编号:
1673-629X（2017)09-0044-04
作者:
 翟社平; 李炀; 马蒙雨; 高山
 西安邮电大学 计算机学院
Author(s):
 ZHAI She-ping; LI Yang; MA Meng-yu; GAO Shan
关键词:
 ; 人脸检测; 局部二元模式; 支持向量机; 特征提取; 人脸识别
Keywords:
 ; face detection; LBP; SVM; feature extraction; face recognition
分类号:
TP391.41
文献标志码:
A
摘要:
 人脸检测作为机器视觉研究的重要内容,在视频监控、安防等领域具有广泛的用途,是人脸识别技术的必备条件.针对复杂背景、光照不均匀等外部条件对人脸检测的影响,提出了基于局部二元模式(LBP)和支持向量机(SVM)的人脸检测算法.其中LBP是一种用来描述图像局部纹理特征的算子,具有旋转不变性和灰度不变性等显著的优点,其最主要的属性是对光照变化造成的灰度变化具有很好的鲁棒性.该算法使用LBP提取图像的特征值,并对提取到的LBP特征值使用SVM算法构建的分类器进行分类.实验结果表明,基于LBP和SVM的人脸检测算法具有很好的检测效果,不仅较好地解决了光照和复杂背景等外部条件对人脸检测的影响,而且明显提高了人脸检测的准确率,准确率可达到94％以上.
Abstract:
 As an important content of machine vision research, face detection is widely used in video surveillance, security and other fields,which is a prerequisite for face recognition technology. A face detection algorithm based on Local Binary Pattern ( LBP) and Sup-port Vector Machine ( SVM) is proposed to deal with the effects of complex background and illumination heterogeneity on face detec-tion. LBP is a kind of operator which is used to describe the local texture features of images with the advantages of rotation invariance and gray-scale invariance and its main property is that it is robust to the change of gray-scale. The algorithm uses LBP to extract the eigen-values of the image which is classified by the classifier built by SVM algorithm. Experimental results show that it has a good detection effect,not only solving the impact of illumination and complex background and other external conditions on the face detection,and signif-icantly improving the accuracy of face detection. The accuracy rate can reach more than 94％.

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更新日期/Last Update: 2017-10-19