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Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG'00)
Comparison of Confidence Measures for Face Recognition
Grenoble, France9
March 26-March 30
ISBN: 0-7695-0580-5
ASCII Text
x 
 
Stefan Eickeler, Mirco Jabs, Gerhard Rigoll, "Comparison of Confidence Measures for Face Recognition," Automatic Face and Gesture Recognition, IEEE International Conference on, pp. 257, Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), 2000.
 
 
BibTex
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@article{ 10.1109/AFGR.2000.840644,
author = {Stefan Eickeler and Mirco Jabs and Gerhard Rigoll},
title = {Comparison of Confidence Measures for Face Recognition},
journal ={Automatic Face and Gesture Recognition, IEEE International Conference on},
volume = {0},
year = {2000},
isbn = {0-7695-0580-5},
pages = {257},
doi = {http://doi.ieeecomputersociety.org/10.1109/AFGR.2000.840644},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Automatic Face and Gesture Recognition, IEEE International Conference on
TI - Comparison of Confidence Measures for Face Recognition
SN - 0-7695-0580-5
SP
EP
A1 - Stefan Eickeler,
A1 - Mirco Jabs,
A1 - Gerhard Rigoll,
PY - 2000
KW - Face Recognition
KW - Confidence Measure
KW - Hidden Markov Models
VL - 0
JA - Automatic Face and Gesture Recognition, IEEE International Conference on
ER -
 
Stefan Eickeler, Gerhard-Mercator-University Duisburg
Mirco Jabs, Gerhard-Mercator-University Duisburg
Gerhard Rigoll, Gerhard-Mercator-University Duisburg
This paper compares different confidence measures for the results of statistical face recognition systems. The main applications of a confidence measure are rejection of unknown people and the detection of recognition errors. Some of the confidence measures are based on the posterior probability and some on the ranking of the recognition results. The posterior probability is calculated by applying Bayes' rule with different ways to approximate the unconditional likelihood. The confidence measure based on the ranking is a new method that is presented in this paper. Experiments to evaluate the confidence measures are carried out on a pseudo 2-D Hidden Markov Model based face recognition system and the Bochum face database.
Index Terms:
Face Recognition, Confidence Measure, Hidden Markov Models
Citation:
Stefan Eickeler, Mirco Jabs, Gerhard Rigoll, "Comparison of Confidence Measures for Face Recognition," fg, pp.257, Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), 2000
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