@article {IOPORT.06006522,
    author       = {Zhang, Haichao and Nasrabadi, Nasser M. and Zhang, Yanning and Huang, Thomas S.},
    title        = {Joint dynamic sparse representation for multi-view face recognition.},
    year         = {2012},
    journal      = {Pattern Recognition},
    volume       = {45},
    number       = {4},
    issn         = {0031-3203},
    pages        = {1290-1298},
    publisher    = {Elsevier Science Ltd. (Pergamon), Oxford},
    doi          = {10.1016/j.patcog.2011.09.009},
    abstract     = {Summary: We consider the problem of automatically recognizing a human face from its multi-view images with unconstrained poses. We formulate the multi-view face recognition task as a joint sparse representation model and take advantage of the correlations among the multiple views for face recognition using a novel joint dynamic sparsity prior. The proposed joint dynamic sparsity prior promotes shared joint sparsity patterns among the multiple sparse representation vectors at class-level, while allowing distinct sparsity patterns at atom-level within each class to facilitate a flexible representation. Extensive experiments on the CMU Multi-PIE face database are conducted to verify the efficacy of the proposed method.},
    identifier   = {06006522},
}