• DOI:10.1007/s11263-011-0464-9
Corpus ID: 1397356

Real-Time Facial Feature Tracking on a Mobile Device

@article{Tresadern2011RealTimeFF,
  title={Real-Time Facial Feature Tracking on a Mobile Device},
  author={Philip A. Tresadern and Mircea C. Ionita and T. Cootes},
  journal={International Journal of Computer Vision},
  year={2011},
  volume={96},
  pages={280-289}
}

Philip A. Tresadern, Mircea C. Ionita, T. Cootes

Published 2011

Computer Science

International Journal of Computer Vision

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… CONTINUE READING

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