【摘要】 阐述了基于主成分分析(Principal Component Analysis,PCA)和二维主成分分析(2DPCA)的人脸识别方法,分析了该方法在矩阵理论中的来源和算法,提出了PCA+2DPCA分析方法,并采用2DPCA求出特征向量,PCA进行最优压缩,从而降低了维数.更多还原

【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.更多还原