Abstract
In this paper, we proposed an autoassociative Radial Basis Function (RBF) network and applied it with a modular structure to human face recognition. To capture the substantial facial features and reduce computational complexity, we propose to use wavelet transform (WT) to decompose face images and choose the lowest resolution subband coefficients for face representation. Results indicate that our scheme yields accurate recognition on the widely used XM2VTS face database and Olivetti Research Laboratory (ORL) face database.
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.
Referencess
D.C. Hay, A. Young and A.W. Ellis, “Routes through the face recognition system”, Quarterly Journal of Experimental Psychology: Human Experimental Psychology, Vol.43, pp. 761–791, 1991.
A.J. Howell and H Buston, “Receptive field functions for face recognition” University of Sussex Technical Reports, Dec. 1995.
C. Nastar, N. Ayache, “Frequency-based non-rigid motion analysis,” IEEE Trans. Pattern Anal. Mach. Intell., 18, pp.1067–1079, 1996.
J.-H. lai, P.-C. Yuen, G.-C. Feng, “Face recognition using holistic Fourier invariant features”, Pattern Recognition, 34, 95–109, 2001.
H. Schwenk and M. Milgram, “Transformation invariant autoassociation with application to hadwritten character recognition”, in Neural Information Processing Systems (NIPS 7), D.S. Touretzyk, G.S. Tesauro and T.K. Leen eds., pp 991–998, MIT Press, 1995.
M. Turk and A. Pentland, “Eigenfaces for recognition”, Journal of Cognitive Neuroscience, vol.3, pp.71–86, 1991.
S Lawrence, C.L. Giles, A.C. Tsoi and A.D. Back, “Face recognition: A convolutional neural network approach,” IEEE Trans. Neural Network, vol.8, pp.98–113, 1997.
T. Sim, R. Sukthankar, M. Mulliln and S. Baluja, “High-performance memory-based face recognition for visitor identification,” JPRC-TR-1999-001-1
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, Bl., Guo, Y. (2001). Face Recognition by Auto-associative Radial Basis Function Network. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_8
Download citation
DOI: https://doi.org/10.1007/3-540-45344-X_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42216-7
Online ISBN: 978-3-540-45344-4
eBook Packages: Springer Book Archive