Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 202-206.doi: 10.11896/j.issn.1002-137X.2017.11A.042

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Relationship between PCA and 2DPCA

YAN Rong-hua, PENG Jin-ye and WEN De-sheng   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Principal component analysis and two-dimensional principal component analysis are two classical data transformation techniques.Although many scholars worked on them,there’s no relationship of two methods to be given.In this paper,we gave their relationship,which is that they have the same optimal objective value in optimization.The opinion was demonstrated through theoretical derivation and extensive experiments which is tested on the CMU-PIE and CK+face database.

Key words: Face recognition,PCA,2DPCA

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