Facial feature detection and tracking with automatic template selection

  title={Facial feature detection and tracking with automatic template selection},
  author={David Cristinacce and Timothy F. Cootes},
  journal={7th International Conference on Automatic Face and Gesture Recognition (FGR06)},
We describe an accurate and robust method of locating facial features. The method utilises a set of feature templates in conjunction with a shape constrained search technique. The current feature templates are correlated with the target image to generate a set of response surfaces. The parameters of a statistical shape model are optimised to maximise the sum of responses. Given the new feature locations the feature templates are updated using a nearest neighbour approach to select likely… CONTINUE READING
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