|
|||||
|
|
| 基于有监督直接局部保持投影的人脸识别 | |
| 引用本文： | 李政仪,朱益丹,赵龙.基于有监督直接局部保持投影的人脸识别[J].计算机工程,2009,35(10):190-192. |
| 作者姓名： | 李政仪 朱益丹 赵龙 |
| 作者单位： | 1. 长沙民政学院软件学院,长沙,410004 2. 国防科技大学计算机学院,长沙,410073;北京节能环保中心,北京,100029 3. 国防科技大学计算机学院,长沙,410073 |
| 摘 要： | 提出一种用于图像识别的有监督直接局部保持投影算法，该算法结合样本类别信息，通过同时对角化的方法求解局部保持投影问题，避免矩阵的奇异性。在ORL人脸库上的测试结果表明，该算法的识别率高于PCA, PCA+LPP等方法。 |
| 关 键 词： | 局部保持投影 图像识别 主成分分析 |
| 修稿时间： | |
Face Recognition Based on Supervised Direct Locality Preserving Projection |
|
| LI Zheng-yi,ZHU Yi-dan,ZHAO Long.Face Recognition Based on Supervised Direct Locality Preserving Projection[J].Computer Engineering,2009,35(10):190-192. | |
| Authors: | LI Zheng-yi ZHU Yi-dan ZHAO Long |
| Affiliation: | 1.Software School;Changsha Social Work College;Changsha 410004;2.College of Computer;National University of Defense Technology;Changsha 410073;3.Beijing Energy Conservation and Environment Protection Center;Beijing 100029 |
| Abstract: | This paper proposes a supervised direct locality preserving projection algorithm for image recognition.This algorithm solves locality preserving projection problem via simultaneous diagonallization combined with samples' information,and can avoid the singularity of the matrices.Experimental results on the ORL face database show that this algorithm is more powerful than PCA and PCA+LPP for face recognition. |
| Keywords: | locality preserving projection image recognition Principal Component Analysis(PCA) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《计算机工程》浏览原始摘要信息 | |
| 点击此处可从《计算机工程》下载全文 | |
