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一种新的代数特征抽取方法及人脸识别
引用本文:郭跃飞,姜志华.一种新的代数特征抽取方法及人脸识别[J].南京理工大学学报(自然科学版),1997,21(5):387-390.
作者姓名:郭跃飞  姜志华
作者单位:南京理工大学信息学院
基金项目:国家自然科学基金,国家教委博士点基金
摘    要:特征抽取是图象识别中的一个最重要最基本的问题,代数特征抽取是一各肯效的特征抽取方法。该文给出了一种新的代数特征抽取方法。首先给出了图象矩阵特征矩阵的概念,再根据特征矩阵抽取代数特征,该文证明了这样抽取的代数特征具有一些重要的代数和几何不变性,作为一个应用,将此方法用于人脸识别,取得了很好的效果。

关 键 词:矩阵  特征抽取  模式识别  人脸  图象识别

A Novel Algebraic Feature Extraction Method and Facial Recognition
GuoYuefei,JiangZhihua,YangJingyu,WuYongge,HuangXiuwu.A Novel Algebraic Feature Extraction Method and Facial Recognition[J].Journal of Nanjing University of Science and Technology(Nature Science),1997,21(5):387-390.
Authors:GuoYuefei  JiangZhihua  YangJingyu  WuYongge  HuangXiuwu
Abstract:The feature extraction is the most important and fundamental problem in image recognition.The algebraic feature extraction is an effective method of the feature extraction.In this paper,a novel algebraic feature extraction method is presented.At first the eigen matrix (EM) of the image is defined,then the EM is used for extracting the algebraic feature.This paper proved that this algebraic feature has some important properties of algebraic and geometric invariance.As an example,this method is used for facial image recognition.The experimental result shows that this method is effective.
Keywords:matrices (mathematics)  feature extraction  pattern recognition  optimal discriminant projection vector  
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