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We investigate large-scale face identification in unconstrained videos with 1000 subjects. This problem is very challenging, and until now most studies have only considered the scenarios with a small number of subjects and videos captured in controlled laboratory environments. Our contributions in this paper are twofold. First, we set up a large-scale video database in an unconstrained environment,...
Expression based face recognition has been gaining more and more attentions recently. Most traditional expression based face recognition can perform recognition where the probe and gallery have same expressions. In this paper, we propose to use different expressions for recognition. Our proposal exploits the temporal order in the video and extracts the identity signature from deformation and motion...
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