助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   分块主分量分析 的翻译结果: 查询用时:0.008秒
图标索引 在分类学科中查询
所有学科
更多类别查询

图标索引 历史查询
 

分块主分量分析
相关语句
  block principal component analysis
     This paper presents a scheme for face recognition,based on block principal component analysis(Block-PCA)wherein preprocessing is conducted by partitioning each face image into several blocks with the same size,followed by energy normalizing to reduce the brightness variation effect and by the Fourier transform to estimate the spectra.
     设计了一种基于分块主分量分析(Block-PCA)的人脸识别方案。 预处理阶段,首先将一幅脸像按不同方位划分为大小相同的数个子块,对各子块进行能量归一化和傅氏变换,以消除部分光照影响并估算子块的频谱。
短句来源
  相似匹配句对
     Image Retrieval Based on Sub Regions and Primary Colors
     基于分块色的图象检索
短句来源
     The principal stress method is developed and the mechanical slab method is proposed.
     发展了应力法 ,提出了力学分块法。
短句来源
     PIECEWISE SYMMETRIZATION IN GEOMETRIC FUNCTION THEORY
     分块对称化
短句来源
     THE INVERSE OF BLOCK BAND MATRICES
     分块带状矩阵的逆
短句来源
     Separation of main work and non-main work;
     辅分离;
短句来源
查询“分块主分量分析”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
没有找到相关例句


This paper presents a scheme for face recognition,based on block principal component analysis(Block-PCA)wherein preprocessing is conducted by partitioning each face image into several blocks with the same size,followed by energy normalizing to reduce the brightness variation effect and by the Fourier transform to estimate the spectra.Eigen features are acquired by performing PCA on the spectra of each block,and then combined into global features,from which the recognition results are obtained by the Nearest...

This paper presents a scheme for face recognition,based on block principal component analysis(Block-PCA)wherein preprocessing is conducted by partitioning each face image into several blocks with the same size,followed by energy normalizing to reduce the brightness variation effect and by the Fourier transform to estimate the spectra.Eigen features are acquired by performing PCA on the spectra of each block,and then combined into global features,from which the recognition results are obtained by the Nearest Neighbor(NN) classifier.Experimental results of the Olivetti Research Laboratory(ORL) face database show that the proposed method is feasible for face recognition.

设计了一种基于分块主分量分析(Block-PCA)的人脸识别方案。预处理阶段,首先将一幅脸像按不同方位划分为大小相同的数个子块,对各子块进行能量归一化和傅氏变换,以消除部分光照影响并估算子块的频谱。在此基础上进行分块PCA,提取各子块主分量特征,再将子块的主分量特征整合为整体特征,最后采用最近邻判决准则进行分类识别。对ORL人脸数据库的实验结果表明所设计方案是有效的。

 
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关分块主分量分析的内容
在知识搜索中查有关分块主分量分析的内容
在数字搜索中查有关分块主分量分析的内容
在概念知识元中查有关分块主分量分析的内容
在学术趋势中查有关分块主分量分析的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社