Study of Face Recognition Using Statistical Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43869256" target="_blank" >RIV/70883521:28140/13:43869256 - isvavai.cz</a>

Výsledek na webu

<a href="http://ijens.org/Vol_13_I_01/138601-7575-IJVIPNS-IJENS.pdf" target="_blank" >http://ijens.org/Vol_13_I_01/138601-7575-IJVIPNS-IJENS.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Study of Face Recognition Using Statistical Analysis

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Study of Face Recognition Using Statistical Analysis

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: Centrum bezpečnostních, informačních a pokročilých technologií (CEBIA-Tech)</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 periodika

International Journal of Video&Image Processing and Network Security

ISSN

2227-2739

e-ISSN

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Svazek periodika

13

Číslo periodika v rámci svazku

01

Stát vydavatele periodika

PK - Pákistánská islámská republika

Počet stran výsledku

6

Strana od-do

15-20

Kód UT WoS článku

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EID výsledku v databázi Scopus

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