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| 一种改进的线性判别分析法在人脸识别中的应用 | |
| 引用本文： | 覃志祥,丁立新,简国强,秦前清,李元香. 一种改进的线性判别分析法在人脸识别中的应用[J]. 计算机工程, 2006, 32(4): 211-213 |
| 作者姓名： | 覃志祥 丁立新 简国强 秦前清 李元香 |
| 作者单位： | 1. 武汉大学计算机学院,武汉,430079 2. 武汉大学软件工程与国家重点实验室,武汉,430079 3. 武汉大学测绘遥感信息工程国家重点实验室,武汉,430079 4. 武汉大学计算机学院,武汉,430079;武汉大学软件工程与国家重点实验室,武汉,430079 |
| 摘 要： | 提出了一种新的基于LDA的人脸识别算法。该方法重新定义了样本的类间散布矩阵，在原始的定义基础上增加了一种径向基函数（RBF）调节类间距离，使得在选择投影方向时能更好地分升各类样本；同时该方法存类间散布矩阵与类内散布矩阵的特征分解的基础上，通过变换求出符合Fisher准则的最优投影方向，可以证明这样得到的投影方向同时具有正交性与统计不相关性。通过ORL人脸数据库的数值实验，表明了该算法比传统算法有更好的性能。 |
| 关 键 词： | 线性判别分析 样本类间离散度 样本类内离散度 特征提取 人脸识别 |
| 文章编号： | 1000-3428（2006）04-0211-03 |
| 收稿时间： | 2005-02-05 |
| 修稿时间： | 2005-02-05 |
Face Recognition Based on a New Improved LDA Method |
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| QIN Zhixiang,DING Lixin,JIAN Guoqiang,QIN Qianqing,LI Yuanxiang. Face Recognition Based on a New Improved LDA Method[J]. Computer Engineering, 2006, 32(4): 211-213 | |
| Authors: | QIN Zhixiang DING Lixin JIAN Guoqiang QIN Qianqing LI Yuanxiang |
| Affiliation: | 1. Shcool of Computer, Wuhan University, Wuhan 430079; 2. National Key Laboratory for Software Engineering, Wuhan University, Wuhan 430079; 3. National Key Laboratory for Information Egineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079 |
| Abstract: | This paper introduces a new approach of improved-LDA to overcome the drawbacks existing in the traditional PCA and LDA methods.It redefines the between-class scatter matrix by adding a radical basis function(RBF).Therefore,it can work better than the traditional methods.At the same time,a optimal set of uncorrelated discriminant vectors have been founded on the basis of the eigen decomposition of between-class scatter matrix and within-class scatter matrix.The numerical experiments on facial database of ORL show this method achieves better performance of face recognition than traditional methods. |
| Keywords: | Linear discriminant analysis(LDA) Between-class scatter Within-class scatter Feature extraction Face recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |