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2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1
Face Authentication using the Trace Transform
Madison, Wisconsin
June 18-June 20
ISBN: 0-7695-1900-8
ASCII Text
x 
 
Sanun Srisuk, Maria Petrou, Werasak Kurutach, Alexander Kadyrov, "Face Authentication using the Trace Transform," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 305, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003.
 
 
BibTex
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@article{ 10.1109/CVPR.2003.1211368,
author = {Sanun Srisuk and Maria Petrou and Werasak Kurutach and Alexander Kadyrov},
title = {Face Authentication using the Trace Transform},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {2003},
issn = {1063-6919},
pages = {305},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2003.1211368},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Face Authentication using the Trace Transform
SN - 1063-6919
SP
EP
A1 - Sanun Srisuk,
A1 - Maria Petrou,
A1 - Werasak Kurutach,
A1 - Alexander Kadyrov,
PY - 2003
KW - null
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Sanun Srisuk, Mahanakorn University of Technology; University of Surrey
Maria Petrou, University of Surrey; CERTH
Werasak Kurutach, Mahanakorn University of Technology
Alexander Kadyrov, University of Surrey
We introduce a new face representation, the shape Trace transform (STT), for recognizing faces in an authentication system. The STT offers an alternative representation for faces that has a very high discriminatory power. We estimate the dissimilarity between two shapes by a new measure we propose, the Hausdorff context. The reinforcement learning is used to search the optimal parameters of the algorithm, for which the within-class variance of the STT is minimized. This research demonstrates that the proposed method provides a new way for face representation. Our system is verified with experiments on the XM2VTS database.
Citation:
Sanun Srisuk, Maria Petrou, Werasak Kurutach, Alexander Kadyrov, "Face Authentication using the Trace Transform," cvpr, vol. 1, pp.305, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003
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