Locality Preserving Maximum Scatter Difference Projection for Face Recognition

Yong Feng Qi; Yuan Lian Huo

doi:10.4028/www.scientific.net/AMM.411-414.1179

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Locality Preserving Maximum Scatter Difference...

Locality Preserving Maximum Scatter Difference Projection for Face Recognition

Abstract:

Maximum Scatter Difference (MSD) aims to preserve discriminant information of sample space, but it fails to find the essential structure of the samples with nonlinear distribution. To overcome this problem, an efficient feature extraction method named as Locality Preserving Maximum Scatter Difference (LPMSD) projection is proposed in this paper. The new algorithm is developed based on locality preserved embedding and MSD criterion. Thus, the proposed LPMSD not only preserves discriminant information of sample space but also captures the intrinsic submanifold of sample space. Experimental results on ORL, Yale and CAS-PEAL face database indicate that the LPMSD method outperforms the MSD, MMSD and LDA methods under various experimental conditions.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1179-1184

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1179

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Online since:

September 2013

Authors:

Yong Feng Qi*, Yuan Lian Huo

Keywords:

Face Recognition, Locality Preserving Maximum Scatter Difference, Maximum Scatter Difference

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