Supervised Learning for Head Pose Estimation Using SVD and Gabor Wavelets

  • Authors:
  • Adel Lablack;Zhongfei (Mark) Zhang;Chabane Djeraba

  • Affiliations:
  • -;-;-

  • Venue:
  • ISM '08 Proceedings of the 2008 Tenth IEEE International Symposium on Multimedia
  • Year:
  • 2008

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Abstract

This paper presents the use of a template based method in order to make a head pose estimation. As an image classification problem the aim of this kind of techniques is to convert the input head image into a feature vector. The feature vectors of different persons taken at the same pose will serve to learn a head pose classifier. The aim of this work is to estimate the head pose of people looking at a target scene in order to extract the location of their gaze in the scene.