吉首大学学报：自然科学版Issue(3)：55-58,4.
基于PCA＋2DPCA的人脸识别方法分析
Face Recognition Based on Linear Transformation Theory
摘要
Abstract
This paper mainly introduces the application of linear transformation matrix in pattern recognition,face recognition based on Principal Component Analysis（PCA） and Two-dimensional Principal Component Analysis（2DPCA）.and the source and algorithm in matrix theory.A kind of innovative method of analyzing is put forward,namely PCA＋2DPCA,which is to get the engenvector through 2DPCA and achieve the optimal compress through PCA,and thus reduce the number of dimensions.关键词
线性变换/人脸识别/PCA/2DPCA/PCA＋2DPCAKey words
linear transformation/face recognition/PCA/2DPCA/PCA＋2DPCA分类
计算机与自动化引用本文复制引用
谭子尤,梁靖..基于PCA＋2DPCA的人脸识别方法分析[J].吉首大学学报：自然科学版,2011,(3):55-58,4.基金项目
湖南省教育厅科学研究资助项目 （）
