一种人脸图象自动识别方法及实验  

A Novel Method on Face Recognition

作　　者：徐勇[1] 陆建峰[1] 杨静宇[1] 

机构地区：[1]南京理工大学计算机系,南京210094

出　　处：《系统仿真学报》2004年第1期14-16,共3页Journal of System Simulation

基　　金：国家自然科学基金资助(60072034)

摘　　要：为了很好解决小样本情况下线性鉴别矢量的求解问题,定义了Fisher极小准则函数与广义Fisher极小准则函数,并从理论上说明了二者的等价性。基于广义Fisher极小准则函数,推导出一个新的广义特征方程。具有最多鉴别信息的鉴别矢量可通过求解新方程得到。人脸图象的识别结果表明,本文方法具有较优性能。Fisher minimum criterion and generalized Fisher minimum criterion are defined. In fact, the two criteria are equivalent. Based on the generalized Fisher minimal criterion, a novel eigen equation is proposed. Linear discriminant vectors with most discriminant information can be obtained through the novel eigen equation. Experiment on a face database shows that the method used in this paper is excellent.

关 键 词：FISHER准则 线性鉴别矢量 图象处理 人脸识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]