Skip to main content

Research Repository

Advanced Search

Automatic 3D face recognition using Fourier descriptors.

Elyan, Eyad; Ugail, Hassan


Hassan Ugail


H. Ugail

R.S.R. Qahwaji

P.J. Willis

R.A. Earnshaw


3D face recognition is attracting more attention due to the recent development in 3D facial data acquisition techniques. It is strongly believed that 3D Face recognition systems could overcome the inherent problems of 2D face recognition such as facial pose variation, illumination, and variant facial expression. In this paper we present a novel technique for 3D face recognition system using a set of parameters representing the central region of the face. These parameters are essentially vertical and cross sectional profiles and are extracted automatically without any prior knowledge or assumption about the image pose or orientation. In addition, these profiles are stored in terms of their Fourier Coefficients in order to minimize the size of input data. Our approach is validated and verified against two different datasets of 3D images covers enough systematic and pose variation. High recognition rate was achieved.


ELYAN, E. and UGAIL, H. 2009. Automatic 3D face recognition using Fourier descriptors. In Ugail, H., Qahwaji, R.S.R, Earnshaw, R.A. and Willis, P.J. (eds.) Proceedings of the 2009 International conference on Cyberworlds (CYBERWORLDS 2009), 7-11 September 2009, Bradford, UK. Los Alamitos: IEEE Computer Society [online], article number 5279600, pages 246-252. Available from:

Conference Name 2009 International conference on Cyberworlds (CYBERWORLDS 2009)
Conference Location Bradford, UK
Start Date Sep 7, 2009
End Date Sep 11, 2009
Acceptance Date Sep 30, 2009
Online Publication Date Sep 30, 2009
Publication Date Dec 31, 2009
Deposit Date Jan 21, 2015
Publicly Available Date Jan 21, 2015
Publisher IEEE Computer Society
Article Number 5279600
Pages 246-252
Keywords 2D face recognition; 3D face recognition; 3D images
Public URL


You might also like

Downloadable Citations