Automatic Face Corpus Creation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43918331" target="_blank" >RIV/49777513:23520/13:43918331 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Face Corpus Creation

Popis výsledku v původním jazyce

The paper focuses on Automatic Face Recognition (AFR) under real-world conditions. Two previously proposed AFR methods are evaluated on real-world data. There is a comparison of the results on a standard dataset and a newly created real-world dataset. Further, the process of automatic creation of the ČTK dataset is described. Automatic Face Recognition, Czech News Agency, Confidence Measures, Gabor Wavelets, Scale Invariant Feature TransformThen a series of experiments on this dataset is presented. It is shown that the recognition rate is influenced by the number of training images for each person. It is also demonstrated, that the recognition rate decreases significantly with larger database. Next, the use of a confidence measure technique as a solution to identify and to filter-out the incorrectly recognized faces is proposed. It is shown that the confidence measure is very beneficial for AFR under real-world conditions.

Název v anglickém jazyce

Automatic Face Corpus Creation

Popis výsledku anglicky

The paper focuses on Automatic Face Recognition (AFR) under real-world conditions. Two previously proposed AFR methods are evaluated on real-world data. There is a comparison of the results on a standard dataset and a newly created real-world dataset. Further, the process of automatic creation of the ČTK dataset is described. Automatic Face Recognition, Czech News Agency, Confidence Measures, Gabor Wavelets, Scale Invariant Feature TransformThen a series of experiments on this dataset is presented. It is shown that the recognition rate is influenced by the number of training images for each person. It is also demonstrated, that the recognition rate decreases significantly with larger database. Next, the use of a confidence measure technique as a solution to identify and to filter-out the incorrectly recognized faces is proposed. It is shown that the confidence measure is very beneficial for AFR under real-world conditions.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ICAART 2013

ISBN

978-989-8565-38-9

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

582-586

Název nakladatele

SciTePress

Místo vydání

Setúbal

Místo konání akce

Barcelona

Datum konání akce

15. 2. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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