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 Timothy F. Cootes},
  journal={International Journal of Computer Vision},
  year={2011},
  volume={96},
  pages={280-289}
}
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

Citations

Publications citing this paper.
SHOWING 1-10 OF 33 CITATIONS

A Research on Fast Face Feature Points Detection on Smart Mobile Devices

  • Wireless Communications and Mobile Computing
  • 2018
VIEW 1 EXCERPT
CITES METHODS

A Functional Regression Approach to Facial Landmark Tracking

Enrique Sanchez-Lozano, Georgios Tzimiropoulos, Brais Martinez, Fernando De la Torre, Michel Valstar
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2017
VIEW 2 EXCERPTS
CITES METHODS & BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 25 REFERENCES

Robust real-time face detection

  • Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001
  • 2001
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

A Review of Active Appearance Models

  • IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
  • 2010
VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

Generic vs. person specific active appearance models

  • Image Vision Comput.
  • 2005
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Active Appearance Models Revisited

  • International Journal of Computer Vision
  • 2004
VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

Direct appearance models

  • Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
  • 2001
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

A Nonlinear Discriminative Approach to AAM Fitting

  • 2007 IEEE 11th International Conference on Computer Vision
  • 2007
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

Fast Active Appearance Model Search Using Canonical Correlation Analysis

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2006
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Iterative Error Bound Minimisation for AAM Alignment

  • 18th International Conference on Pattern Recognition (ICPR'06)
  • 2006
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL