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Abstract:
This chapter presents a novel computer graphics approach suitable for the 3D tracking of facial movements. This kernel-based approach for constructing 3D facial animations also provides information needed for realistic and controllable facial animation and dynamic analyses of face space. This approach, which provides a fully automatic, markerless tracking system, creates a platform where an intersection takes place between psychology and other research areas such as computer graphics and machine learning. The chapter highlights the need to develop a system in the future that can improve the mesh regularization terms in a face-specific manner by using feedback and findings from previous tracking systems.