Science & Engineering Research Support soCiety (SERSC)
In order to increase the ability to track face movements with large head rotations, a 3D shape model is used in the system. In this paper, the authors present a robust nose tip detection method in 3D facial image that handling facial expression and hair occlusion. The 3D face smoothed by weighted median filter, the holes are filled by linear interpolation during the re-sampling phase and the 3D Gaussian filter is used to remove noise. Since the database, mesh contains unimportant parts like neck, shoulder, clothes and hair that can also change the overall appearance of a face.