  In this paper we present a novel approach that takes as input a 3D image and
gives as output its pose i.e. it tells whether the face is oriented with
respect the X, Y or Z axes with angles of rotation up to 40 degree. All the
experiments have been performed on the FRAV3D Database. After applying the
proposed algorithm to the 3D facial surface we have obtained i.e. on 848 3D
face images our method detected the pose correctly for 566 face images,thus
giving an approximately 67 % of correct pose detection.
