首页 | 本学科首页   官方微博 | 高级检索  
     

白化散度差矩阵的独立元分析应用于表情识别*
引用本文:李春芝,陈晓华.白化散度差矩阵的独立元分析应用于表情识别*[J].计算机应用研究,2011,28(11):4361-4363.
作者姓名:李春芝  陈晓华
作者单位:湖州师范学院信息与工程学院,浙江湖州,313000
基金项目:国家自然科学基金资助项目(60872057);浙江省自然科学基金资助项目(R1090244,Y1080212,Y1100095);浙江省科技计划资助项目(2010C33G2200008);湖州市自然科学资金资助项目(2010YZ04);湖州科技攻关计划资助项目(2010GG22)
摘    要:提出基于白化散度差矩阵的独立元分析算法,增加不同类表情之间的类间距离,减弱人脸个体差异性信息对表情识别的干扰,避免传统的二维主元分析方法(2DPCA)以总体散布矩阵作为产生矩阵,有效地简化了白化实现过程,提高了白化性能,削弱了光照、姿态等噪声对表情识别的影响。该算法首先采用散度差矩阵求白化矩阵,由快速固定点算法(FASTICA)求解样本独立元,最终由最近邻准则实现表情识别。实验结果表明,提出的算法要优于传统的2DPCA及ICA算法,为表情识别提供了一条有效途径。

关 键 词:散度差矩阵  白化散度差矩阵  独立元分析  最近邻准则  表情识别

Independent component analysis based on whiten scatter difference matrix for expression recognition
LI Chun-zhi,CHEN Xiao-hua.Independent component analysis based on whiten scatter difference matrix for expression recognition[J].Application Research of Computers,2011,28(11):4361-4363.
Authors:LI Chun-zhi  CHEN Xiao-hua
Affiliation:LI Chun-zhi,CHEN Xiao-hua(School of Information & Engineering,Huzhou Teachers College,Huzhou Zhejiang 313000,China)
Abstract:As the traditional ICA does not consider the impornance of the independent components for classification and recognition.This paper proposed a method,which obtained scatter difference matrix by calculation of expression face matrix and neutral face matrix,abolished the total scatter matrix as a generation matrix which had been employed by 2DPCA.As a result,increased difference of between-class scatter,and weakened the noisy from the variety of face.Firstly this method whitened scatter difference matrix.Seco...
Keywords:scatter difference matrix  whiten scatter difference matrix  independent component analysis(ICA)  nearest neighbor rule  expression recognition
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机应用研究》浏览原始摘要信息
点击此处可从《计算机应用研究》下载全文
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