Study on the Essence of Optimal Statistically Uncorrelated Discriminant Vectors and Its Application to Face Recognition
文献类型：期刊论文
| 作者 | Wu XJ(吴晓军); Yang Jingyu; Josef Kittler; Wang Shitong; LiuTongming; Kieron Messer |
| 刊名 | Engineering Sciences
 |
| 出版日期 | 2004 |
| 卷号 | 2期号:2页码:61-66 |
| 关键词 | pattern recognition feature extraction disciminant analysis generalized optimal set of discriminant vectors face recognition |
| ISSN号 | 1672-4178 |
| 产权排序 | 1 |
| 中文摘要 | A study has been made on the essence of optimal uncorrelated discriminant vectors. A whitening transform has been constructed by means of the eigen decomposition of the population scatter matrix, which makes the population scatter matrix be an identity matrix in the transformed sample space no matter whether the population scatter matrix is singular or not. Thus, the optimal discriminant vectors solved by the conventional linear discriminant analysis (LDA) methods are statistically uncorrelated. The research indicates that the essence of the statistically uncorrelated discriminant transform is the whitening transform plus conventional linear discriminant transform. The distinguished characteristics of the proposed method is that the obtained optimal discriminant vectors are not only orthogonal but also statistically uneorrelated. The proposed method is applicable to all the problems of algebraic feature extraction. The numerical experiments on several facial databases show the effectiveness of the proposed method. |
| 资助信息 | EuropeanUnion (EU)ProjectBanca ;; EuropeanUnion(EU)projectVampire ;; NationalNaturalScienceFoundationofChina (No .60 0 72 0 3 4) ;RoboticsLaboratory ShenyangInstituteofAutomation ;; ChineseAcademyofSciencesfoundation (No .RL2 0 0 10 8) |
| 语种 | 英语 |
| 公开日期 | 2012-05-29 |
| 源URL | [http://ir.sia.cn/handle/173321/6950]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室_先进制造技术研究室 |
| 推荐引用方式 GB/T 7714 | Wu XJ,Yang Jingyu,Josef Kittler,et al. Study on the Essence of Optimal Statistically Uncorrelated Discriminant Vectors and Its Application to Face Recognition[J]. Engineering Sciences,2004,2(2):61-66. |
| APA | Wu XJ,Yang Jingyu,Josef Kittler,Wang Shitong,LiuTongming,&Kieron Messer.(2004).Study on the Essence of Optimal Statistically Uncorrelated Discriminant Vectors and Its Application to Face Recognition.Engineering Sciences,2(2),61-66. |
| MLA | Wu XJ,et al."Study on the Essence of Optimal Statistically Uncorrelated Discriminant Vectors and Its Application to Face Recognition".Engineering Sciences 2.2(2004):61-66. |
入库方式： OAI收割
来源：沈阳自动化研究所
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