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Head Pose Classification Using a BidimensionalCorrelation Filter

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Lecture Notes in Computer Science

Volume 9164, Issue 1, 2015, Pages 203-209

Head Pose Classification Using a BidimensionalCorrelation Filter

Djemel Ziou, Dayron RIZO-RORDRIGUEZ, Antoine Tabbone, Nafaa Nacereddine

Abstract: Correlation filters have been extensively used in face recognition but surprisingly underused in head pose classification.

In this paper,we present a correlation filter that ensures the tradeoff between three criteria: peak distinctiveness, discrimination power and noise robustness.Such a filter is derived through a variational formulation of these threecriteria. The closed form obtained intrinsically considers multiclass information and preserves the bidimensional structure of the image. The filterproposed is combined with a face image descriptor in order to deal withpose classification problem. It is shown that our approach improves poseclassification accuracy, especially for non-frontal poses, when comparedwith other methods.

Keywords : Head pose classification, Bidimensional correlation filter

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