A combined approach to feature extraction for mouth characterization and tracking
Ionita, Mircea C.
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Bacivarov, I., Ionita, M. C., & Corcoran, P. (2008). A combined approach to feature extraction for mouth characterization and tracking. Paper presented at the Signals and Systems Conference, 208. (ISSC 2008). IET Irish.
A statistical Active Appearance Model (AAM) is developed to model and track the lips. A major challenge in modelling the mouth area, considered the most deformable facial feature, is the weak contrast between lips and skin colour. In order to perform accurately, AAM requires a strong initialization point. In our approach, key information is firstly extracted using chrominance analysis. Then optimal parameters of the model are determined using AAM fitting procedure. A detailed description of our model and its corresponding fitting algorithm are given and preliminary results on different databases are summarised.