Face Recognition under Real-world Conditions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43918227" target="_blank" >RIV/49777513:23520/13:43918227 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Face Recognition under Real-world Conditions
Original language description
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. Then 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.
Czech name
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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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 5th International Conference on Agents and Artificial Intelligence, Vol. 2
ISBN
978-989-8565-38-9
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
250-256
Publisher name
SciTePress
Place of publication
Setúbal
Event location
Barcelona
Event date
Feb 15, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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