A Composed Confidence Measure for Automatic Face Recognition in Uncontrolled Environment

Pavel Král, Ladislav Lenc

2014

Abstract

This paper is focused on automatic face recognition in order to annotate people in photographs taken in completely uncontrolled environment. Recognition accuracy of the current approaches is not sufficient in this case and it is thus beneficial to improve the results. We would like to solve this issue by proposing a novel confidence measure method to identify the incorrectly classified examples at the output of our classifier. The proposed approach combines two measures based on the posterior probability and two ones based on the predictor features in a supervised way. The experiments show that the proposed approach is very efficient, because it detects almost all erroneous examples.

Paper Citation

in Harvard Style

Král P. and Lenc L. (2014). A Composed Confidence Measure for Automatic Face Recognition in Uncontrolled Environment . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 230-237. DOI: 10.5220/0004926202300237

in Bibtex Style

@conference{icaart14,
author={Pavel Král and Ladislav Lenc},
title={A Composed Confidence Measure for Automatic Face Recognition in Uncontrolled Environment},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={230-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004926202300237},
isbn={978-989-758-015-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - A Composed Confidence Measure for Automatic Face Recognition in Uncontrolled Environment
SN - 978-989-758-015-4
AU - Král P.
AU - Lenc L.
PY - 2014
SP - 230
EP - 237
DO - 10.5220/0004926202300237