Abstract
This paper describes the exhaustive tests of four known methods of linear transformations (Eigenfaces, Fisherfaces, Laplacianfaces and Marginfaces) in the context of face verification task. Additionally, we introduce a new variant of the transformation (Laplacianface + LDA), and the specific interval-based decision rule. Both of them improve the performance of face verification, in general, however, our experiments show that the linear transformations are of marginal importance in this field.
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
Preview
Unable to display preview. Download preview PDF.
References
Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE Trans. Pattern Analysis and Machine Intelligence 19(7), 711–720 (1997)
He, X., Yan, S., Hu, Y., Niyogi, P., Zhang, H.-J.: Face Recognition Using Laplacianfaces. IEEE Trans. Pattern Analysis and Machine Intelligence 27(3), 328–340 (2005)
Phillips, P.J., Moon, H., Rauss, P.J., Rizvi, S.: The FERET evaluation methodology for face recognition algorithms. IEEE Trans. Pattern Analysis and Machine Intelligence 22(10), 1090–1104 (2000)
Sammon, J.W.: An Optimal Discriminant Plane. IEEE Trans. Computers C-19(9), 826–829 (1970)
SART-2 project (2012), http://sart2.eti.pg.gda.pl/
Sim, T., Baker, S., Bsat, M.: The CMU Pose, Illumination, and Expression (PIE) Database. In: Proc. 5th Int. Conf. on Automatic Face and Gesture Recognition (2002)
Smiatacz, M., Przybycien, K.: A Framework for Training and Testing of Complex Pattern Recognition Systems. In: IEEE Conf. on Signal and Image Processing Applications (ICSIPA), Kuala Lumpur, pp. 198–203 (2011)
Turk, M., Pentland, A.: Eigenfaces for Recognition. J. Cognitive Neuroscience 3(1), 71–86 (1990)
Viola, P., Jones, M.J.: Robust Real-Time Face Detection. Int. J. Comp. Vision 57(2), 137–154 (2004)
Wang, F., Wang, X., Zhang, D., Zhang, C., Li, T.: marginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognition 42, 2863–2875 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Smiatacz, M. (2013). Eigenfaces, Fisherfaces, Laplacianfaces, Marginfaces – How to Face the Face Verification Task. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-00969-8_18
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00968-1
Online ISBN: 978-3-319-00969-8
eBook Packages: EngineeringEngineering (R0)