Automatic Eyebrow Tracking Using Boundary Chain Codes
AUTHORS:B. Raducanu, M. Pantic, L.J.M. Rothkrantz
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. 137-143.
KEYWORDS:
Intelligent vision-based data analysis, facial feature tracking, signature
analysis, shape description using chain codes.
ABSTRACT:
In this paper we are presenting an eyebrow tracking algorithm, which
is robust against variations in scale, orientation and changes of eyebrow
appearances. The contour of the eyebrow is found using the method of boundary
chain code. The method is applied on the eyebrow and eye area of static
facial image. The algorithm forms a part of the Integrated System for
Facial Expression Recognition (ISFER), which is an automated system
for facial expression analysis.
