| 基于局部和全局的特征提取算法及在人脸识别中的应用 |
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| 引用本文： | 张国印,楼宋江,程慧杰,王庆军.基于局部和全局的特征提取算法及在人脸识别中的应用[J].计算机科学,2009,36(8):285-287. |
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| 作者姓名： | 张国印 楼宋江 程慧杰 王庆军 |
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| 作者单位： | 哈尔滨工程大学计算机科学与技术学院,哈尔滨,150001 |
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| 摘 要： | 提出了一种基于局部和全局特征的特征提取算法.该算法不仅能保持数据集的局部性,同时也考虑了数据集的全局性,使得降维后的数据既能保持邻近关系,又能从整体上较好地重构和展现.PCAO能较好地展现原数据集,LPP能保持局部邻近关系,算法结合了这两个算法的思想,但由于LPP没有考虑类别信息,故先对LPP进行改进,给出了一种有监督的局部保持投影算法,使得提出的算法能更加有利于分类问题.通过人脸识别实验,验证了算法的正确性和有效性.
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| 关 键 词： | 特征提取 局部性 全局性 主成分分析算法 人脸识别 |
| 收稿时间： | 2008/9/24 0:00:00 |
| 修稿时间： | 2009/2/27 0:00:00 |
Feature Extraction Algorithm Based on Locality and Globality and its Application in Face Recognition |
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| GHANG Guo-yin,LOU Song-jiang,CHENG Hui-jie,WANG Qing-jun.Feature Extraction Algorithm Based on Locality and Globality and its Application in Face Recognition[J].Computer Science,2009,36(8):285-287. |
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| Authors: | GHANG Guo-yin LOU Song-jiang CHENG Hui-jie WANG Qing-jun |
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| Affiliation: | Faculty of Computer Science and Application;Harbin Engineering University;Harbin 150001;China |
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| Abstract: | A feature extraction algorithm based on locality and globality was proposed,which on one hand takes the locality of the data into consideration,on the other hand takes the globality of data into account.Consequently,the data after dimension reduction not only preserves the locality relationship,but also reconstructs and represents the original data perfectly.PCA(Principal Component Analysis) can represent the data nicely and LPP(Locality Preserving Projection) can preserve the locality relationship,so the a... |
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| Keywords: | LPP |
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