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Measurement of Facial Dynamics for Soft Biometrics

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Face and Facial Expression Recognition from Real World Videos (FFER 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8912))

Abstract

Facial dynamics contain idiosyncratic information that can help appearance-based systems in a number of tasks. This paper summarizes our research on using facial dynamics as a soft biometric, in establishing the age and kinship similarity, as well as for assessing expression spontaneity. Our findings suggest that high-resolution and high-frequency information gathered from the face can be very informative, and result in systems that go beyond human performance in a number of domains.

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Author information

Authors and Affiliations

  1. Pattern Recognition and Bioinformatics Group, Delft University of Technology, Delft, The Netherlands

    Hamdi Dibeklioğlu

  2. Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey

    Albert Ali Salah

  3. Computational Science and Engineering Program, Boğaziçi University, Istanbul, Turkey

    Furkan Gürpınar

Authors
  1. Hamdi Dibeklioğlu
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  2. Albert Ali Salah
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  3. Furkan Gürpınar
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Corresponding author

Correspondence to Albert Ali Salah .

Editor information

Editors and Affiliations

  1. Computer and Systems Engineering, Pensselaer Polytechnic Institute, Troy, New York, USA

    Qiang Ji

  2. Department of Architecture, Design, and Media Technology, Aalborg, Denmark

    Thomas B. Moeslund

  3. Department of Computer Science, Stevens Institute of Technology, Hoboken, New Jersey, USA

    Gang Hua

  4. Department of Architecture, Design, and Media Technology, Aalborg, Denmark

    Kamal Nasrollahi

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© 2015 Springer International Publishing Switzerland

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Dibeklioğlu, H., Salah, A.A., Gürpınar, F. (2015). Measurement of Facial Dynamics for Soft Biometrics. In: Ji, Q., B. Moeslund, T., Hua, G., Nasrollahi, K. (eds) Face and Facial Expression Recognition from Real World Videos. FFER 2014. Lecture Notes in Computer Science(), vol 8912. Springer, Cham. https://doi.org/10.1007/978-3-319-13737-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-13737-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13736-0

  • Online ISBN: 978-3-319-13737-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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