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Reilly, Jane, 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: | 10.1007/11919629_35 |
| Depositing User: | John McDonald |
| Date Deposited: | 31 May 2017 15:03 |
| Publisher: | Springer |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/8263 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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