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Head Pose Classification Using a Bidimensional Correlation Filter

  • Djemel ZiouEmail author
  • Dayron Rizo-Rodriguez
  • Antoine Tabbone
  • Nafaa Nacereddine
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9164)

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 three criteria. The closed form obtained intrinsically considers multiclass information and preserves the bidimensional structure of the image. The filter proposed is combined with a face image descriptor in order to deal with pose classification problem. It is shown that our approach improves pose classification accuracy, especially for non-frontal poses, when compared with other methods.

Keywords

Head pose classification Bidimensional correlation filter 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Djemel Ziou
    • 1
    Email author
  • Dayron Rizo-Rodriguez
    • 1
  • Antoine Tabbone
    • 2
  • Nafaa Nacereddine
    • 3
  1. 1.Départment d’InformatiqueUniversité de SherbrookeSherbrookeCanada
  2. 2.LORIA UMR 7503Université de LorraineVandoeuvre-les-nancyFrance
  3. 3.Centre de Recherche Scientifique et Technique en Soudage et Controle ChéragaAlgiersAlgeria

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