Head pose calibration from 3D range and texture images for 3D facial caricaturing

We proposed a method of 3D caricature generation which is based on the automatic extraction of the facial parts for the 3D facial image. This method is likely to suffer sometimes fatal degradations in the feature extraction caused by a variation of the head pose (Roll, Pitch and Yaw rotations). Therefore, we propose a method of head pose modification by estimating roll and yaw rotations which are based on the irises position extracted by Hough transform from texture image. We improved the quality of the mean face and the caricatures by this head pose estimation.