About: Face Recognition under Real-world Conditions

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. 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. (en)
Title	Face Recognition under Real-world Conditions Face Recognition under Real-world Conditions (en)
skos:prefLabel	Face Recognition under Real-world Conditions Face Recognition under Real-world Conditions (en)
skos:notation	RIV/49777513:23520/13:43918227!RIV14-MSM-23520___
http://linked.open...avai/predkladatel	Fakulta aplikovaných věd
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0090), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Král, Pavel Lenc, Ladislav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	74499
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/13:43918227
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Scale Invariant Feature Transform; Gabor Wavelets; Confidence Measures; Czech News Agency; Automatic Face Recognition (en)
http://linked.open.../riv/klicoveSlovo	Confidence Measures Automatic Face Recognition Czech News Agency Scale Invariant Feature Transform Gabor Wavelets
http://linked.open...ontrolniKodProRIV	[17A7FCAD1B13]
http://linked.open...v/mistoKonaniAkce	Barcelona
http://linked.open...i/riv/mistoVydani	Setúbal
http://linked.open...i/riv/nazevZdroje	Proceedings of the 5th International Conference on Agents and Artificial Intelligence, Vol. 2
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	NTIS - New Technologies for Information Society
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Král, Pavel Lenc, Ladislav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-02-15 (xsd:date)
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	SciTePress
https://schema.org/isbn	978-989-8565-38-9
http://localhost/t...ganizacniJednotka	23520

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