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Domain adaptation has shown promising results in computer vision applications. In this paper, we propose a new unsupervised domain adaptation method called domain adaptation by shifting covariance (DASC) for object recognition without requiring any labeled samples from the target domain. By characterizing samples from each domain as one covariance matrix, the source and target domain are represented...
In this paper, the facial expression recognition (FER) is investigated based on the observation that a sequence of images of a certain facial expression define a smooth manifold. First, local binary pattern (LBP) algorithm is used to extract the local texture features of the expression images. Then, locally linear embedding (LLE) method is used to learn the structure of the expression manifold in...
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