About: Study of Face Recognition Using Statistical Analysis

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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)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ijens.org/Vol_13_I_01/138601-7575-IJVIPNS-IJENS.pdf
Description	The paper deals with the analytical-statistical method for the face recognition. Although the bases of the face recognition are known by researchers worldwide, the statistical tests of data obtained by measuring chosen anthropometrical points can be found in several articles. Our aim is to show how the data act during the various emotions of one face, which will be helpful for deeper knowledge of how the face behaves. The focus is also aimed at study of aging. The data were tested in the STATISTICA software using e.g. the ANOVA, the Shapiro-Wilk test, the k-Means clustering and the t-test. Acquired results reflect the difficulty of describing the face and the applicability of combination of different recognition methods (e.g. methods based on neural networks, recognition of facial contours, distribution of the gray scale in the image, deformation models) to get the best results in the verification/identification of a human. The paper deals with the analytical-statistical method for the face recognition. Although the bases of the face recognition are known by researchers worldwide, the statistical tests of data obtained by measuring chosen anthropometrical points can be found in several articles. Our aim is to show how the data act during the various emotions of one face, which will be helpful for deeper knowledge of how the face behaves. The focus is also aimed at study of aging. The data were tested in the STATISTICA software using e.g. the ANOVA, the Shapiro-Wilk test, the k-Means clustering and the t-test. Acquired results reflect the difficulty of describing the face and the applicability of combination of different recognition methods (e.g. methods based on neural networks, recognition of facial contours, distribution of the gray scale in the image, deformation models) to get the best results in the verification/identification of a human. (en)
Title	Study of Face Recognition Using Statistical Analysis Study of Face Recognition Using Statistical Analysis (en)
skos:prefLabel	Study of Face Recognition Using Statistical Analysis Study of Face Recognition Using Statistical Analysis (en)
skos:notation	RIV/70883521:28140/13:43869256!RIV14-MSM-28140___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0089), S
http://linked.open...iv/cisloPeriodika	01
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Bělašková, Silvie Sulovská, Kateřina Adámek, Milan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Tomáše Bati ve Zlíně / Fakulta aplikované informatiky
http://linked.open...dnocenehoVysledku	108699
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/13:43869256
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	pattern recognition, face recognition, statistical methods, biometrics (en)
http://linked.open.../riv/klicoveSlovo	face recognition pattern recognition statistical methods biometrics
http://linked.open...odStatuVydavatele	PK - Pákistánská islámská republika
http://linked.open...ontrolniKodProRIV	[09987BCCAD68]
http://linked.open...i/riv/nazevZdroje	International Journal of Video&Image Processing and Network Security
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	13
http://linked.open...iv/tvurceVysledku	Adámek, Milan Bělašková, Silvie Sulovská, Kateřina
issn	2227-2739
number of pages	6 (xsd:int)
http://localhost/t...ganizacniJednotka	28140

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