(1) Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK;
Abstract:
This paper presents an implementation of the Active Appearance Model that is able to track a face on a mobile device in real-time.
We achieve this performance by discarding an explicit texture model, using fixed-point arithmetic for much of the computation,
applying a sequence of models with increasing complexity, and exploiting a sparse basis projection via Haar-like features.
Our results show that the Haar-like feature basis achieves similar performance to more traditional approaches while being
more suitable for a mobile device. Finally, we discuss mobile applications of the system such as face verification, teleconferencing
and human-computer interaction.