Vector Quantization Segmentation for Head Pose Estimation

  • José Lopes
  • Sameer Singh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4224)


Head pose estimation is an important area of investigation for understanding human dynamics. Appearance-based methods are one of the popular solutions to this problem. In this paper we present a novel approach using vector quantization that adds spatial information to the feature set. We compare this with raw, Gabor filtered and Wavelet features using the Carnegie Mellon PIE database. Our approach shows increased performance over the other methods.


Wavelet Feature Average Success Rate Pose Estimation Video Computing Appearance Base Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • José Lopes
    • 1
  • Sameer Singh
    • 1
  1. 1.Research School of InformaticsLoughborough UniversityLoughboroughUK

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