A Composed Confidence Measure for Automatic Face Recognition in Uncontrolled Environment

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43921933" target="_blank" >RIV/49777513:23520/14:43921933 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0004926202300237" target="_blank" >http://dx.doi.org/10.5220/0004926202300237</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0004926202300237" target="_blank" >10.5220/0004926202300237</a>

Result language
angličtina
Original language name
A Composed Confidence Measure for Automatic Face Recognition in Uncontrolled Environment
Original language description
This paper is focused on automatic face recognition in order to annotate people in photographs taken in completely uncontrolled environment. 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.
Czech name
—
Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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