Ghent, John and Reilly, J. and McDonald, John
(2006)
Facial Expression Classification using Kernel Principal
Component Analysis and Support Vector Machines.
In:
IMVIP 2006 : Proceedings of the Irish Machine Vision and Image Processing Conference 2006.
Vision System Group, DCU, pp. 60-67.
ISBN 9780955388507
Abstract
This paper details a novel procedure for accurately classifying lower facial expres-
sions. A shape model is developed based on an anatomical analysis of facial expression
called the
Facial Action Coding System
(FACS). This model analyzes the movement in
shape due to the formation of a specific expression. We apply
Kernel Principal Compo-
nent Analysis
(KPCA) to the shapes in the training set and classify new unseen expressions
by using
Support Vector Machines
(SVMs). We further analyse our model by attaching a
probability measure to the outputs.
| Item Type: |
Book Section
|
| Keywords: |
Facial expression classification, Kernel Principal Component Analysis; KPCA; Support Vector Machines; SVMs; |
| Academic Unit: |
Faculty of Science and Engineering > Computer Science |
| Item ID: |
8302 |
| Depositing User: |
John McDonald
|
| Date Deposited: |
09 Jun 2017 15:33 |
| Publisher: |
Vision System Group, DCU |
| Refereed: |
Yes |
| Funders: |
Science Foundation Ireland |
| 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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