Pierre Bouges

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We propose a generic framework to handle missing weak classifiers at testing stage in a boosted cascade. The main contribution is a probabilistic formulation of the cascade structure that considers the uncertainty introduced by missing weak classifiers. This new formulation involves two problems: (1) the approximation of posterior probabilities on each(More)
Face recognition is an important tool for improving security, with many possible applications. It is however a difficult task in uncontrolled environments, where results can be dramatically reduced compared to controlled conditions. This article presents face recognition in a realistic setup, a complete processing chain from face detection to actual(More)
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