Appearance Global and Local Structure Fusion for Face Image Recognition

  title={Appearance Global and Local Structure Fusion for Face Image Recognition},
  author={Arif Muntasa and Indah Agustien Sirajudin and Mauridhi Hery Purnomo},
Principal component analysis (PCA) and linear descriminant analysis (LDA) are an extraction method based on appearance with the global structure features. The global structure features have a weakness; that is the local structure features can not be characterized. Whereas locality preserving projection (LPP) and orthogonal laplacianfaces (OLF) methods are an appearance extraction with the local structure features, but the global structure features are ignored. For both the global and the local… CONTINUE READING
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