Abstract
Abstract:
In this paper, we present and investigate the performance
of an algorithm designed to identify facial features
on an android mobile platform. Facial feature identification
is the necessary step before many computer vision systems
including emotion detection, face tracking and face recognition.
The facial feature identification algorithm presented is based
on an anthropometric face model , box-blur filtering, and nonmaximum
suppression to find eyes corners, mouth corners and
nose centre. Skin colour detection is used to find regions in
the image that have a higher potential of containing eyes. The
anthropometric face model is used to reduce the computational
complexity involved in localising facial regions. This algorithm is
designed to be compatible with the limited hardware and memory
capabilities of mobile devices.