This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2007 IEEE International Conf. on Application-Specific Systems, Architectures and Processors (ASAP)
An automatic 2D, 2.5D & 3D score-based fusion face verification system
Montreal, QC, Canada
July 09-July 11
ISBN: 978-1-4244-1026-2
ASCII Text
x 
 
Cristina Conde, Angel Serrano, Licesio J. Rodriguez-Aragon, Enrique Cabello, "An automatic 2D, 2.5D & 3D score-based fusion face verification system," 2012 IEEE 23rd International Conference on Application-Specific Systems, Architectures and Processors, pp. 208-213, 2007 IEEE International Conf. on Application-Specific Systems, Architectures and Processors (ASAP), 2007.
 
 
BibTex
x
 
@article{ 10.1109/ASAP.2007.4429992,
author = {Cristina Conde and Angel Serrano and Licesio J. Rodriguez-Aragon and Enrique Cabello},
title = {An automatic 2D, 2.5D & 3D score-based fusion face verification system},
journal ={2012 IEEE 23rd International Conference on Application-Specific Systems, Architectures and Processors},
volume = {0},
year = {2007},
isbn = {978-1-4244-1026-2},
pages = {208-213},
doi = {http://doi.ieeecomputersociety.org/10.1109/ASAP.2007.4429992},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2012 IEEE 23rd International Conference on Application-Specific Systems, Architectures and Processors
TI - An automatic 2D, 2.5D & 3D score-based fusion face verification system
SN - 978-1-4244-1026-2
SP208
EP213
A1 - Cristina Conde,
A1 - Angel Serrano,
A1 - Licesio J. Rodriguez-Aragon,
A1 - Enrique Cabello,
PY - 2007
VL - 0
JA - 2012 IEEE 23rd International Conference on Application-Specific Systems, Architectures and Processors
ER -
 
Cristina Conde, Face Recognition&Artificial Vision Group (FRAV), Universidad Rey Juan Carlos, c/ Tulipán, s/n, Móstoles (Madrid) 28933-E, Spain
Angel Serrano, Face Recognition&Artificial Vision Group (FRAV), Universidad Rey Juan Carlos, c/ Tulipán, s/n, Móstoles (Madrid) 28933-E, Spain
Licesio J. Rodriguez-Aragon, Face Recognition&Artificial Vision Group (FRAV), Universidad Rey Juan Carlos, c/ Tulipán, s/n, Móstoles (Madrid) 28933-E, Spain
Enrique Cabello, Face Recognition&Artificial Vision Group (FRAV), Universidad Rey Juan Carlos, c/ Tulipán, s/n, Móstoles (Madrid) 28933-E, Spain
A score-based fusion for face verification is presented from FRAV3D Face Database (2D, 2.5D and 3D face images). In the case of 2.5D and 3D data, an automatic correction of pose has been carried out by detecting the nose tip and the eyes. For each kind of image a different feature extraction has been applied (Principal Component Analysis and Support Vector Machine for 2D and 2.5D, and Iterative Closest Point algorithm for 3D). A fusion at score level has been performed two by two, after a minimum-maximum normalization (MM) and a Z-score standardization (ZS). We have found an optimal combination that reduces (or at least does not worsen) the Equal Error Rate of the classifiers applied independently. In the most optimal situation, the improvement of the EER is higher than 80% for the fusion of 2D and 2.5D data, as well as for 2.5D and 3D data.
Citation:
Cristina Conde, Angel Serrano, Licesio J. Rodriguez-Aragon, Enrique Cabello, "An automatic 2D, 2.5D & 3D score-based fusion face verification system," asap, pp.208-213, 2007 IEEE International Conf. on Application-Specific Systems, Architectures and Processors (ASAP), 2007
Usage of this product signifies your acceptance of the Terms of Use.