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User authentication via adapted statistical models of face images

Cardinaux, Fabien; Sanderson, Conrad; Bengio, Samy


It has been previously demonstrated that systems based on local features and relatively complex statistical models, namely, one-dimensional (1-D) hidden Markovmodels (HMMs) and pseudo-two-dimensional (2-D) HMMs, are suitable for face recognition. Recently, a simpler statistical model, namely, the Gaussian mixture model (GMM), was also shown to perform well. In much of the literature devoted to these models, the experiments were performed with controlled images (manual face localization,...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Journal article
Source: IEEE Transactions on Signal Processing
DOI: 10.1109/TSP.2005.861075


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