The Symmetrical Variation of 2DPCA for Face Recognition

Zeng Yue; Da Zheng Feng; Xiong Li

doi:10.4028/www.scientific.net/AMR.255-260.2004

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 255-260The Symmetrical Variation of 2DPCA for Face...

The Symmetrical Variation of 2DPCA for Face Recognition

Abstract:

This paper first discusses the relationship of Principal Component Analysis (PCA) and two-dimensional PCA (2DPCA). For 2DPCA eliminating the some covariance information which can be useful for recognition, The symmetrical Variation of 2DPCA for Face recognition (V2DPCA) is proposed. These experiments on both of ORL face bases shows improvement in recognition accuracy, fewer coefficients and recognition time over 2DPCA, and this algorithm is also superior to the traditional eigenfaces, ICA and Kernel eigenfaces in terms of the recognition accuracy.

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Periodical:

Advanced Materials Research (Volumes 255-260)

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2004-2008

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https://doi.org/10.4028/www.scientific.net/AMR.255-260.2004

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May 2011

Authors:

Zeng Yue, Da Zheng Feng, Xiong Li

Keywords:

2DPCA, Face Recognition, Image Representation, Principal Component Analysis (PCA)

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References

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