Title
Image Analysis for Markerless Facial Tracking: Robust Face and Facial Feature Tracking Using AFM, AAA, VbTM and Postprocessing,Used
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Tracking of facial features is increasingly used in game and film industry as well as for other applications. Most tracking systems are currently using markers which unfortunately are tedious and cumbersome. Markerless facial tracking is supposed to eliminate the disadvantages of the markerbased approaches. This literature investigates different algorithms for markerless tracking and presents how to apply them in a robust way. Viewbased and component sensitive normalized face images can achieve accurate tracking results based on the Active Appearance Algorithm. Post processing the parameters of global motions of the model smoothes the synthesized video sequence. Tacking results for faces and a tool developed for creating training images are also presented.
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