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一种基于组合降维的图像识别方法
引用本文:周萱,耿伯英,刘七.一种基于组合降维的图像识别方法[J].海军工程大学学报,2006,18(2):23-26.
作者姓名:周萱  耿伯英  刘七
作者单位:1. 南京审计学院,江苏,南京,210029
2. 海军工程大学,电子工程学院,湖北,武汉,430033
3. 海军指挥学院,江苏,南京211800
摘    要:为克服图像识别中传统方法需要进行高维矩阵奇异值分解的困难,提出了先局部降维再总体降维的组合变换方法.ORL人脸图像数据库的实验表明,这一方法不仅减少了运算量,而且能较好地解决人脸这样一类复杂的图像识别问题;总体来说优于传统的基于KL变换的识别方法.

关 键 词:特征抽取  最佳鉴别特征  KL变换  Fisher最佳鉴别方向
文章编号:1009-3486(2006)02-0023-04
修稿时间:2005年10月18

On image recognition based on combinatorial dimension compression
ZHOU Xuan,GENG Bo-ying,LIU Qi.On image recognition based on combinatorial dimension compression[J].Journal of Naval University of Engineering,2006,18(2):23-26.
Authors:ZHOU Xuan  GENG Bo-ying  LIU Qi
Abstract:To overcome the difficulty of SVD of high dimension image matrix and improve the performance of image recognition,a new method of combining the local dimension compression with the integral dimension compression is presented.Recognition experiments are implemented on the ORL face database,and the results show that the computing cost is reduced as compared with those of methods based on the KL transform,and that the method presented also has better performance in recognizing the complicated images such as human-face.
Keywords:feature extraction  optimal discrimination feature  KL transform  Fisher optimal discrimination orientation
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