BasedonprincipalcomponentanalysisoftheFaceRecognit
所属分类:图形图像处理
开发工具:matlab
文件大小:44KB
下载次数:148
上传日期:2009-04-27 19:39:08
上 传 者:
fwi123
说明:
在特征提取阶段,研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多
种方法。不同于基于图象向量的PCA特征提取,由于2DPCA, (2D) ZPCA, DiagPCA和
DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵,计算量小,所以特征的提取速度明
显高于PCA方法。
(In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA and other methods. Vector is different from the PCA-based image feature extraction, as 2DPCA, (2D) ZPCA, DiagPCA and DiagPCA-I-2DPCA the feature extraction are directly based on image matrix, a small amount of calculation, so the speed of feature extraction method was significantly higher than PCA .)
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基于主成分分析的人脸识别研究.doc (113974, 2009-04-27)
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