Nuclear Norm Based Bidirectional 2DPCA

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Yu Ding, Caikou Chen, Ya Gu, Yu Wang

Published: 01 Jan 2014, Last Modified: 18 Nov 2024CCBR 2014EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: This paper develops a new image feature extraction and recognition method coined bidirectional compressed nuclear-norm based 2DPCA (BN2DPCA). BN2DPCA presents a sequentially optimal image compression mechanism, making the information of the image compact into its up-left corner. BN2DPCA is tested using the Extended Yale B and the CMU PIE face databases. The experimental results show that BN2DPCA is more effective than N2DPCA, B2DPCA, LPP and LDA for face feature extraction and recognition.