改进的统计不相关最优鉴别矢量集

吴小俊; 杨静宇; 王士同; JosefKittler; 陆介平

改进的统计不相关最优鉴别矢量集

吴小俊^{①②③;杨静宇},
杨静宇,
王士同,
JosefKittler,
陆介平

计量
- 文章访问数: 2453
- HTML全文浏览量: 115
- PDF下载量: 759
- 被引次数: 0
出版历程
- 收稿日期: 2003-05-28
- 修回日期: 2004-03-09
- 刊出日期: 2005-01-19

An Improved Optimal Set of Statistical Uncorrelated Discriminant Vectors

摘要

摘要: 该文对统计不相关最优鉴别矢量集算法进行研究,在分析统计不相关最优鉴别矢量集算法的基础上提出了一种改进的方法。该方法在类内散布矩阵的特征空间中求解统计不相关最优鉴别矢量集。为了加快特征抽取速度,利用基于图像鉴别分析的维数压缩方法,对图像数据进行了压缩。在ORL和Yale人脸数据库的数值实验,验证本文所提出的方法的有效性。
- 模式识别; 特征抽取; 鉴别分析; 最佳鉴别矢量集; 人脸识别
Abstract: This paper presents a research on the algorithm of optimal set of statistically uncorrelated discriminant vectors. An improved algorithm has been proposed on the basis of the analysis of the conventional algorithm of statistical uncorrelated discriminant vectors, which solves the optimal set of statistically uncorrelated discriminant vectors in the eigen space of the within-class scatter matrix Sw. The dimension of images has been reduced using the dimension reduction method based on image discriminant analysis in order to speed the process of feature extraction. The numerical experiments on facial databases of ORL and Yale show the effectiveness of the proposed method.

HTML全文

参考文献(1)

Turk M, Pentland A. Eigenfaces for face recognition[J].J. Cognitive Neuroscience.1991, 3(1):71-[2]Foley D H, Sammon J W. An optimal set of discriminant vectors,IEEE Trans. on Computers, 1975, 24(3): 281 -289.[3]Duchene J, Leclercl S. An optimal transformation for discriminant and principal component analysis. IEEE Trans. on PAMI, 1988, 10(6): 978 - 983.[4]Kittler J. On the discriminant vector method of feature selection[J].IEEE Trans. on Computers.1977, 26(6):604-[5]Hong Z Q. Algebraic feature extraction of image for recognition[J].Pattern Recognition.1991, 24(3):211-[6]洪子泉,杨静宇.用于图像识别的图像代数特征抽取.自动化学报,1992,18(2):232-238.[7]Cheng Y Q, Yang J Y, et al.. A novel feature extraction method for image recognition based on similar discriminant function[J].Pattern Recognition.1993, 26(1):115-[8]Liu K, Cheng Y Q,Yang J Y, et al.. Algebraic feature extraction for image recognition based on an optimal discriminant criterion[J].Pattern Recognition.1993, 26(6):903-[9]Liu K, Yang J Y, et al.. A generalized optimal set of diseriminant vectors[J].Pattern Recognition.1992, 25(7):731-[10]郭跃飞,杨静宇.求解广义最佳鉴别矢量的一种迭代算法及人脸识别.计算机学报,2000,23(11):1189-1195.[11]郭跃飞.人脸图像代数特征提取与最佳鉴别矢量的研究.[博士论文],南京:南京理工大学,2000.[12]Guo Yue-Fei, Yang Jing-Yu, et al.. Feature extraction method based on the generalized fisher discriminant criterion and facial recognition[J].Pattern Analysis Application.2001, 4(1):61-[13]吴小俊, 杨静宇, 王士同等. A new algorithm for solving optimal discriminant vectors. Journal of Computer Science and Technology, 2001, 3(17): 324 - 331.[14]金忠.人脸图像特征抽取与维数研究.[博士论文],南京:南京理工大学,1999.[15]金忠,杨静宇.一种具有统计不相关性的最佳鉴别矢量集.计算机学报,1999,22(10):1105-1108.[16]吴小俊.图像特征抽取与识别理论及其在人脸识别中的应用研究.[博士论文],南京:南京理工大学,2002.[17]吴小俊,杨静宇,王士同等.A new optimal set of uncorrelated discriminant vectors and its application. Proceedings of WCICA02 (IEEE 02EX527), Shanghai, China, 2002:340 - 344.[18]吴小俊,杨静宇,王士同等.广义DKL变换及其在人脸识别中的应用研究.计算机科学,2003,30(1):87-89.

施引文献

资源附件(0)

访问统计