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Illumination and expression variations are still a challenging problem in face recognition. In this work, we present an efficient face recognition method which can solve the above two problems with single training sample. At first, the effect of the lighting variation is effectively eliminated by the Multi-Scale Retinex algorithm. The Active Appearance Model is adopted to extract the facial block...
In this paper, a novel scheme is proposed for face recognition or authentication against illumination, and expression variation using multimodal face features. First, a sub -image in low-frequency sub-band is extracted by a wavelet-based transform to preserve the invariant data and reduce the dimensionality. The reduced sub-image LL is partitioned into four parts for representing local features and...
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