Robust Facial Feature Tracking Under Various Illuminations

  title={Robust Facial Feature Tracking Under Various Illuminations},
  author={Jingying Chen and Bernard Tiddeman},
  journal={2006 International Conference on Image Processing},
An efficient and robust facial tracking system is presented in this paper. The system is capable of distinguishing a human face from a complex background using motion and histogram based methods. We correct for variations in illumination using a mixture of local and global illumination balance techniques. We detect and track six facial feature points i.e. pupils, nostrils and lip corners using facial feature illumination, geometric characteristics and motion information. In addition, a 3D… CONTINUE READING

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