Definition
Face recognition is the procedure of recognizing an individual from their facial attributes or features and belongs to the class of biometrics recognition methods. 3D face recognition is a method of face recognition that exploits the 3D geometric information of the human face. It employs data from 3D sensors that capture information about the shape of a face. Recognition is based on matching metadata extracted from the 3D shapes of faces. In an identification scenario, the matching is one-to-many, in the sense that a probe is matched against all of the gallery data to find the best match above some threshold. In an authenticationscenario, the matching is one-to-one, in the sense that the probe is matched against the gallery entry for a claimed identity, and the claimed identity is taken to be authenticated if the quality of match exceeds some threshold. 3D face recognition has the potential to achieve better accuracy than its 2D counterpart by utilizing features that are...
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kakadiaris, I., Passalis, G., Toderici, G., Lu, Y., Karambatziakis, N., Murtuza, N., Theoharis, T.: 3D face recognition in the presence of facial expressions: an annotated deformable model approach. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 640–649 (2007)
Farkas, L.: Anthropometry of the Head and Face. Raven Press, NY (1994)
Gu, X., Gortler, S., Hoppe, H.: Geometry images. In: Proceedings of SIGGRAPH, pp. 355–361, San Antonio, TX, USA, July (2002)
Johnson, A.: Spin-images: a representation for 3-D surface matching. Ph.D. Thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, August (1997)
Besl, P.J., McKay, N.D.: A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239–256 (1992)
Chetverikov, D., Svirko, D., Stepanov, D., Krsek, P.: The trimmed iterative closest point algorithm. In: Proceedings of the International Conference on Pattern Recognition, vol. 3, pp. 545–548. Quebec City, Canada (2002)
Siarry, P., Berthiau, G., Durbin, F., Haussy, J.: Enhanced simulated annealing for globally minimizing functions of many-continuous variables. ACM Trans. Math. Software 23(2), 209–228 (1997)
Papaioannou, G., Karabassi, E., Theoharis, T.: Reconstruction of three-dimensional objects through matching of their parts. IEEE Trans. Pattern Anal. Mach. Intell. 24(1), 114–124 (2002)
Metaxas, D., Kakadiaris, I.A.: Elastically adaptive deformable models. IEEE Trans. Pattern Anal. Mach. Intell. 24(10), 1310–1321 (2002)
Mandal, C.: A dynamic framework for subdivision surfaces. Ph.D. Thesis, University of Florida (1998)
Loop, C.: Smooth subdivision surfaces based on triangles. M.Sc. Thesis, Department of Mathematics, University of Utah (1987)
Portilla, J., Simoncelli, E.P.: A parametric texture model based on joint statistic of complex wavelet coefficients. Int. J. Comput. Vis. 40, 49–71 (2000)
Wang, Z., Simoncelli, E.: Translation insensitive image similarity in complex wavelet domain. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. II, pp. 573–576. Philadelphia, PA, USA (2005)
Phillips, P.J., Flynn, P.J., Scruggs, W.T., Bowyer, K.W., Chang, J., Hoffman, K., Marques, J., Min, J., Worek, W.: Overview of the face recognition grand challenge. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005. CVPR 2005, vol. 1, pp. 947–954. Gaithersburg, MD, USA (2005)
Phillips, P.J., Scruggs, W.T., O’Toole, A.J., Flynn, P.J., Bowyer, K.W., Schott, C.L., Sharpe, M.: FRVT 2006 and ICE 2006 Large-Scale Results. NISTIR 7408, March (2007)
Kirkpatrick, S., Gelatt, C., Vecchi, M.: Optimization by simulated annealing. Science 22(4598), 671–680 (1983)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this entry
Cite this entry
Kakadiaris, I.A., Passalis, G., Toderici, G., Perakis, T., Theoharis, T. (2009). Face Recognition, 3D-Based. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_97
Download citation
DOI: https://doi.org/10.1007/978-0-387-73003-5_97
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-73002-8
Online ISBN: 978-0-387-73003-5
eBook Packages: Computer ScienceReference Module Computer Science and Engineering