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On Head Pose Estimation in Face Recognition

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Computer Vision and Computer Graphics. Theory and Applications (VISIGRAPP 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 24))

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Abstract

We present a robust front-end pose classification/estimation procedure to be used in face recognition scenarios. A novel discriminative feature description that encodes underlying shape well and is insensitive to illumination and other common variations in facial appearance, such as skin color etc., is proposed. Using such features we generate a pose similarity feature space (PSFS) that turns the multi-class problem into two-class by using inter-pose and intra-pose similarities. A new classification procedure is laid down which models this feature space and copes well with discriminating between nearest poses. For a test image it outputs a measure of confidence or so called posterior probability for all poses without explicitly estimating underlying densities. The pose estimation system is evaluated using CMU Pose, Illumination and Expression (PIE) database.

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Author information

Authors and Affiliations

  1. Computer Vision and Remote Sensing, Berlin University of Technology, Sekr.FR-3-1, Franklinstr. 28/29, D-10587, Berlin, Germany

    M. Saquib Sarfraz & Olaf Hellwich

Authors
  1. M. Saquib Sarfraz
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  2. Olaf Hellwich
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Editor information

Editors and Affiliations

  1. INSTICC, Avenida D. Manuel I, 2910, Setúbal, Portugal

    AlpeshKumar Ranchordas

  2. Institute for Systems and Robotics, Department of Electrical and Computer Engineering Polo II, University of Coimbra, 3030-290, Coimbra, Portugal

    Hélder J. Araújo

  3. Departamento de Engenharia Informática, Instituto Superior Técnico, Av. Rovisco Pais, 1049-001, Lisboa, Portugal

    João Madeiras Pereira

  4. Departamento de Sistemas e Informatica, Escola Superior de Tecnologia do IPS, Rua do Vale de Chaves Estefanilha, 2910, Setúbal, Portugal

    José Braz

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© 2009 Springer-Verlag Berlin Heidelberg

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Sarfraz, M.S., Hellwich, O. (2009). On Head Pose Estimation in Face Recognition. In: Ranchordas, A., Araújo, H.J., Pereira, J.M., Braz, J. (eds) Computer Vision and Computer Graphics. Theory and Applications. VISIGRAPP 2008. Communications in Computer and Information Science, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10226-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-10226-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10225-7

  • Online ISBN: 978-3-642-10226-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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