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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)
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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