Analysis of Facial Expressions Based on Silhouettes
AUTHORS:
J.C. Wojdel, A.
Wojdel, L.J.M. Rothkrantz
PUBLISHED:
Proceedings of the 5th annual conference of the Advanced
School for Computing and Imaging, Heijen, The Netherlands, June 15-17,
1999, pp. 199-206.
KEYWORDS:
Image interpretation, recognition, contour analysis, neural networks,
expert systems
ABSTRACT:
Non-verbal communication plays an important role in human communication.
At the Delft University of Technology there is a project running on the
automatic recognition of facial expressions. The developed system ISFER
(Integrated System for Facial Expression Recognition) consists of modules
suited for the analysis of a frontal view of the face. As the obtained
results are still far from being perfect we present in this paper a new
complementary approach based on a lateral view of the face. The underlying
model is based on the silhouette of the facial profile with 10 characteristic
points on specific places. The points are chosen so that using Matlab tool
we can assess their locations as extreme points on the silhouette. From
this information emotional facial expressions can be classified up to some
degree using expert systems or neural networks. The new model and results
of testing are reported in this paper.
