IEEE Trans Image Process - Discriminative shared Gaussian processes for multiview and view-invariant facial expression recognition.

Tópicos

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Resumo

Images of facial expressions are often captured from various views as a result of either head movements or variable camera position. Existing methods for multiview and/or view-invariant facial expression recognition typically perform classification of the observed expression using either classifiers learned separately for each view or a single classifier learned for all views. However, these approaches ignore the fact that different views of a facial expression are just different manifestations of the same facial expression. By accounting for this redundancy, we can design more effective classifiers for the target task. To this end, we propose a discriminative shared Gaussian process latent variable model (DS-GPLVM) for multiview and view-invariant classification of facial expressions from multiple views. In this model, we first learn a discriminative manifold shared by multiple views of a facial expression. Subsequently, we perform facial expression classification in the expression manifold. Finally, classification of an observed facial expression is carried out either in the view-invariant manner (using only a single view of the expression) or in the multiview manner (using multiple views of the expression). The proposed model can also be used to perform fusion of different facial features in a principled manner. We validate the proposed DS-GPLVM on both posed and spontaneously displayed facial expressions from three publicly available datasets (MultiPIE, labeled face parts in the wild, and static facial expressions in the wild). We show that this model outperforms the state-of-the-art methods for multiview and view-invariant facial expression classification, and several state-of-the-art methods for multiview learning and feature fusion.

Resumo Limpo

imag facial express often captur various view result either head movement variabl camera posit exist method multiview andor viewinvari facial express recognit typic perform classif observ express use either classifi learn separ view singl classifi learn view howev approach ignor fact differ view facial express just differ manifest facial express account redund can design effect classifi target task end propos discrimin share gaussian process latent variabl model dsgplvm multiview viewinvari classif facial express multipl view model first learn discrimin manifold share multipl view facial express subsequ perform facial express classif express manifold final classif observ facial express carri either viewinvari manner use singl view express multiview manner use multipl view express propos model can also use perform fusion differ facial featur principl manner valid propos dsgplvm pose spontan display facial express three public avail dataset multipi label face part wild static facial express wild show model outperform stateoftheart method multiview viewinvari facial express classif sever stateoftheart method multiview learn featur fusion

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