PUBLISHED:
ASCI'99 Proceedings of the fifth annual conference of the Advanced
School for Computing and Imaging, Heijen, The Netherlands, June 15-17,
1999, pp. 125-132.
KEYWORDS:
Hybrid facial feature extraction, knowledge-based reasoning on ambiguous
facial data, facial action tracking, facial expression emotional classification.
ABSTRACT:
This paper discusses Integrated System for Facial Expression Recognition
(ISFER), which performs recognition and emotional classification of a facial
expression from a still facial image. The system consists of two major
parts. The first one is the ISFER Workbench, which forms a framework for
a hybrid facial feature tracking. The second one is the Human Emotion Recognition
Clips Utilised Expert System (HERCULES), designed to convert a low level
face geometry into a high level face action description, and then this
into the highest level weighted emotion labels. The currently available
image-processing techniques do not facilitate a completely accurate facial
features detection. On the other hand, HERCULES has been developed to reason
on a set of exact facial data [19]. The development of the ISFER Workbench
according to a multi-detector paradigm and employment of the data redundancy
to define unambiguous face geometry forms the main topic of this paper.