[1]高艳[],荆晓远[],吴飞[],等. 基于散度差的彩色人脸图像统计正交分析方法[J].计算机技术与发展,2014,24(12):24-27.
　GAO Yan[],JING Xiao-yuan[],WU Fei[],et al. Statistically Orthogonal Analysis Approach for Color Face Image Based on Scatter Difference[J].,2014,24(12):24-27.
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 基于散度差的彩色人脸图像统计正交分析方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年12期
页码:
24-27
栏目:
智能、算法、系统工程
出版日期:
2014-12-10

文章信息/Info

Title:
 Statistically Orthogonal Analysis Approach for Color Face Image Based on Scatter Difference
文章编号:
1673-629X（2014)12-000124-4
作者:
 高艳[1]; 荆晓远[1]; 吴飞[2] ; 李昆[1];  姚永芳[1]
 1.南京邮电大学 自动化学院；2.南京邮电大学 通信与信息工程学院
Author(s):
 GAO Yan[1];  JING Xiao-yuan[1] ; WU Fei[2];  LI Kun[1] ; YAO Yong-fang[1]
关键词:
 ; 彩色人脸识别; 统计正交分析; 奇异性; 散度差; 参数设置
Keywords:
 ; color face recognition; statistically orthogonal analysis; singularity; scatter difference; parameter setting
分类号:
TP301
文献标志码:
A
摘要:
 由于彩色人脸图像比灰度人脸图像包含了更多的信息，彩色人脸图像识别方法越来越受到学者的重视。而对于研究最多的RGB彩色空间，通常R(红)、G(绿)、B(蓝)三分量间存在很大的相关性。为了最大程度去除各个分量之间的相关性从而提高识别效果，有学者提出了基于统计正交投影变换( SOA)的彩色人脸图像识别方法。然而，该方法在特征提取的过程中不可避免地存在奇异性问题。为了解决这个问题，文中提出了一种基于散度差的彩色人脸图像统计正交分析方法( SDFSOA)。此外，对所涉及的参数进行了合理的设置。实验结果表明所提方法能取得更好的识别效果。
Abstract:
 Color face image contains more information than gray-scale face image,thus color face recognition is attracting more and more researchers’ attention. The most popular color space is RGB space. Usually,there exists much correlation between R(Red),G(Green) and B( Blue) components. In order to remove the correlation among features of three components for improving recognition results,a col-or face recognition method based on Statistically Orthogonal Analysis ( SOA) of projection transforms has been presented. However,this method suffers from problem of singularity inevitably. To solve the problem,propose a novel color face recognition approach that is Scat-ter Difference based color Face image Statistically Orthogonal Analysis ( SDFSOA) approach. In addition,set the parameter in SDFSOA reasonably. The experimental results indicate that the proposed approach can obtain favorable recognition results.

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更新日期/Last Update: 2015-04-15