Fast Face Recognition of Sparse Representation Based Fusion of Visible and Near Infrared Images
Cheng Yaping · 2012
Recently,the face recognition of the fusion of visible(VIS) and near infrared(NIR) images has attracted more attention.Here we studied the fast face recognition in this field and gave an applied scheme in detail,which includes three main techniques:down-sampling of the original samples,sparse representation based selection of M-neighbors to substitute the original training samples and the weighted decision fusion strategy.Comparing with the classic algorithms,the experiments on CSIST face databases show that our scheme can achieve higher classification accuracy with a lower computation load.