Ghent, John and McDonald, John
(2004)
Facial expression synthesis using a statistical model of appearance.
In: The IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP 2004), September 6-8, 2004, Marbella, Spain.
Abstract
This paper details a procedure for generating a mapping
function which maps an image of a neutral face to one depicting
a smile. This is achieved by the computation of the
Facial Expression Shape Model (FESM) and the Facial Expression
Texture Model (FETM). These are statistical models
of facial expression based on anatomical analysis of
facial expression called the Facial Action Coding System
(FACS). The FEAM and the FETM allow for the generation
of a subject independent mapping function. These models
provide a robust means for upholding the rules of the
FACS and are flexible enough to describe subjects that are
not present during the training phase. We use these models
in conjunction with several Artif icial Neural Networks
(ANN) to generate photo-realistic images of facial expressions.
| Item Type: |
Conference or Workshop Item
(Paper)
|
| Keywords: |
Image Processing and Analysis; Image Synthesis; Facial
Expression Shape Model (FESM); Facial Expression Texture
Model (FETM); |
| Academic Unit: |
Faculty of Science and Engineering > Computer Science |
| Item ID: |
8306 |
| Depositing User: |
John McDonald
|
| Date Deposited: |
12 Jun 2017 14:58 |
| Publisher: |
ACTA Press |
| Refereed: |
Yes |
| URI: |
|
| 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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