Abstract
Face signatures computed from the Trace transform offer alternative face representations. They may be used in tasks like face authentication and face recognition. We demonstrate the usefulness of the constructed features with experiments on the BANCA and FERET databases.
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
Srisuk, S., Petrou, M., Kurutach, W., Kadyrov, A.: Face Authentication using the Trace Transform. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. I-305– I-312 (2003)
Kadyrov, A., Petrou, M.: Object signatures invariant to affine distortions derived from the trace transform. J. Image and Vision Computing, pp. 1135–1143 (2003)
Kadyrov, A., Petrou, M.: The Trace Transform and Its Application. IEEE Transactions on Pattern Analysis and Machine Intelligence, 811–828 (2001)
Fahmy, S.A., Bouganis, C-S., Cheung, P.Y.K., Luk, W.: Real-time hardware acceleration of the trace transform. J. Real-Time Image Processing, pp. 235–248 (2007)
Petrou, M., Kadyrov, A.: Affine Invariant Features from the Trace Transform. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 30–44 (2004)
Biometric Access Control for Networked and E-Commerce Applications, http://www.ee.surrey.ac.uk/CVSSP/banca
Phillips, P. J., Wechsler, H., Huang, J., Rauss, P.: The FERET database and evaluation procedure for face recognition algorithms. J. Image and Vision Computing, vol. 16, pp. 295–306 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this paper
Cite this paper
Hanafi, M., Petrou, M. (2011). Face Signatures Derived from the Trace Transform. In: Gelenbe, E., Lent, R., Sakellari, G., Sacan, A., Toroslu, H., Yazici, A. (eds) Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9794-1_41
Download citation
DOI: https://doi.org/10.1007/978-90-481-9794-1_41
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-9793-4
Online ISBN: 978-90-481-9794-1
eBook Packages: EngineeringEngineering (R0)