首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于SVM的人脸检测研究
引用本文:胡萍萍.基于SVM的人脸检测研究[J].电脑编程技巧与维护,2011,1(16):81-82,84.
作者姓名:胡萍萍
作者单位:桂林电子科技大学网络中心,广西桂林,541004
摘    要:支持向量机(SVM)是在统计学习理论基础上发展起来的一种新的机器学习算法。依据SVM良好识别和泛化能力,实现了一种基于支持向量机的图像人脸识别方法。利用Opencv提取样本类的低层特征,训练具有径向基核函数的SVM分类器,在VS2008和Qt平台下实现识别软件开发。运行结果表明,软件具有良好的图像人脸检测能力。

关 键 词:SVM  低层特征  Opencv  人脸检测

Research on Human Face Detection Based on SVM
HU Pingping.Research on Human Face Detection Based on SVM[J].Computer Programming Skills & Maintenance,2011,1(16):81-82,84.
Authors:HU Pingping
Institution:HU Pingping(Network Center,Guilin University of Electronic and Technology,Guangxi Guilin 541004)
Abstract:Support Vector Machine(SVM) is a new machine learning algorithms in the field of statistical learning theory.According to its good identifying and generalization ability,to implement an image face recognition method based on Support Vector Machine.first to extract low-level features of samples Using Opencv,then train SVM classifier with RBF kernel,achieve recognition software development in VS2008 and Qt platform.Result show that the software has the ability to accurately detect human face in image.
Keywords:SVM  low-level features  Opencv  Human Face detection  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号