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This paper presents a multi-state hierarchical approach for facial feature tracking. A hierarchical formulation of statistical shape models is proposed to characterize both global shape constraints of human faces and local structural details of facial components. Gabor wavelets and gray level profiles are integrated for effective and efficient representation of feature points. Furthermore, multi-state...
In this paper, a robust technique is proposed to detect and track a set of twenty-eight prominent facial features under various facial expressions and face orientations in real-time. Specifically, after the face image is captured from the camera, a trained face mesh is first employed to estimate a rough position for each facial feature based on the located eye positions. Subsequently, an accurate...
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