A Novel Approach in detecting pose orientation of a 3D face required for face
This addresses a domain-specific problem in 3D face analysis, but the results are incremental with moderate accuracy.
The paper tackles the problem of detecting pose orientation (rotation up to 40 degrees around X, Y, or Z axes) from 3D face images, achieving approximately 67% correct detection on 566 out of 848 images from the FRAV3D Database.
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.