Browsing by Subject "HGPP"
Now showing items 1-2 of 2
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A kernelized sparsity-based approach for best spectral bands selection for face recognition
( Springer Verlag , 2015 , Article)We study face recognition in unconstrained illumination conditions. A twofold contribution is proposed: First, the robustness of four state-of-the-art algorithms, namely Multi-block Local Binary Pattern (MBLBP), Histogram ... -
Multilinear sparse decomposition for best spectral bands selection
( Springer Verlag , 2014 , Conference Paper)Optimal spectral bands selection is a primordial step in multispectral images based systems for face recognition. In this context, we select the best spectral bands using a multilinear sparse decomposition based approach. ...