September 2021
Volume 21, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2021
The Sabancı University Dynamic Face Database (SU DFace)
Author Affiliations & Notes
  • Mahnoor Nadeem
    Sabanci University
  • Nihan Alp
    Sabanci University
  • Yağmur Damla Şentürk
    Sabanci University
  • Footnotes
    Acknowledgements  This research was supported by the Starting Grant from Sabancı University (B.A. CG-19-01966) to Nihan Alp.
Journal of Vision September 2021, Vol.21, 2964. doi:https://doi.org/10.1167/jov.21.9.2964
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      Mahnoor Nadeem, Nihan Alp, Yağmur Damla Şentürk; The Sabancı University Dynamic Face Database (SU DFace). Journal of Vision 2021;21(9):2964. doi: https://doi.org/10.1167/jov.21.9.2964.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Although faces are highly dynamic, most face databases consist of either static stimuli or the dynamicity is derived from emotional expressions. Here, we present the development and validation of the Sabancı University Dynamic Face database, in which extraction of dynamicity without the influence of emotional processes is possible as it only contains neutral facial expression and natural speech articulation.

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