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    Investigating the Dynamics of Facial Expression


    Reilly, Jane and Ghent, John and McDonald, John (2006) Investigating the Dynamics of Facial Expression. In: ISVC 2006: Advances in Visual Computing. Lecture Notes in Computer Science book series (LNCS) (4292). Springer, pp. 334-343. ISBN 9783540486268

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    Abstract

    This paper is concerned with capturing the dynamics of facial expression. The dynamics of facial expression can be described as the intensity and timing of a facial expression and its formation. To achieve this we developed a technique that can accurately classify and differentiate between subtle and similar expressions, involving the lower face. This is achieved by using Local Linear Embedding (LLE) to reduce the dimensionality of the dataset and applying Support Vector Machines (SVMs) to classify expressions. We then extended this technique to estimate the dynamics of facial expression formation in terms of intensity and timing.

    Item Type: Book Section
    Additional Information: Cite this paper as: Reilly J., Ghent J., McDonald J. (2006) Investigating the Dynamics of Facial Expression. In: Bebis G. et al. (eds) Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4292. Springer, Berlin, Heidelberg
    Keywords: Dynamics; Facial Expression; Local Linear Embedding; Support Vector Machines;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8263
    Identification Number: https://doi.org/10.1007/11919629_35
    Depositing User: John McDonald
    Date Deposited: 31 May 2017 15:03
    Publisher: Springer
    Refereed: Yes
    URI:

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