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5. 2DPCA versus PCA for face recognition

2DPCA versus PCA for face recognition

来源 :Journal of Central South University | 被引量 : 16次 | 上传用户：plcsolitary

【摘 要】

：

Dimensionality reduction methods play an important role in face recognition. Principal component analysis(PCA) and two-dimensional principal component analysis(2DPCA) are two kinds of important method

【作 者】

：

胡建军 谭冠政 栾凤刚 A.S.M.LIBDA 

【机 构】

：

SchoolofInformationScienceandEngineering,SchoolofNationalDefenseEngineering

【出 处】

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Journal of Central South University

【发表日期】

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2015年05期

【基金项目】

：

Projects（50275150,61173052）supported by the National Natural Science Foundation of China

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Dimensionality reduction methods play an important role in face recognition. Principal component analysis(PCA) and two-dimensional principal component analysis(2DPCA) are two kinds of important methods in this field. Recent research seems like that 2DP

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