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Bilateral Two-Dimensional Locality Preserving Projections with Its Application to Face Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5553))

Abstract

In this paper, we propose a novel algorithm for face feature extraction, namely the bilateral two-dimensional locality preserving projections (B2DLPP), which directly extracts the proper features from image matrices based on locality preserving criterion. Experiments on ORL and PIE face database are performed to test and evaluate the proposed algorithm. The results demonstrate the effectiveness of proposed algorithm.

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References

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© 2009 Springer-Verlag Berlin Heidelberg

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Wang, XG. (2009). Bilateral Two-Dimensional Locality Preserving Projections with Its Application to Face Recognition. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_46

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  • DOI: https://doi.org/10.1007/978-3-642-01513-7_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01512-0

  • Online ISBN: 978-3-642-01513-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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