Mathematical methods to estimate image blur and recognize faces in the system of automatic conference participant registration

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43927836" target="_blank" >RIV/49777513:23520/15:43927836 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/article/10.1134%2FS0005117915110107" target="_blank" >http://link.springer.com/article/10.1134%2FS0005117915110107</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1134/S0005117915110107" target="_blank" >10.1134/S0005117915110107</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Mathematical methods to estimate image blur and recognize faces in the system of automatic conference participant registration

Popis výsledku v původním jazyce

To enhance the efficiency of the developed system of automatic participant registration in the conference room, the up-to-date mathematical methods were presented for estimation of digital image blur and sifting out the low-quality images prior to the face recognition stage. To increase the rate of processing and reliability of the methods for determination of image quality at experimental verification, several variants of segmentation of frame part were realized: entire image, face area, and 200 x 200pixels face area. The proposed procedure of preliminary search of a face area within the frame and estimation of its blur on the basis of statistical analysis of the pixel brightness coefficients enabled one to determine 94 % of undistorted frames obtained at automatic registration of the conference participants in the intelligent room.

Název v anglickém jazyce

Mathematical methods to estimate image blur and recognize faces in the system of automatic conference participant registration

Popis výsledku anglicky

To enhance the efficiency of the developed system of automatic participant registration in the conference room, the up-to-date mathematical methods were presented for estimation of digital image blur and sifting out the low-quality images prior to the face recognition stage. To increase the rate of processing and reliability of the methods for determination of image quality at experimental verification, several variants of segmentation of frame part were realized: entire image, face area, and 200 x 200pixels face area. The proposed procedure of preliminary search of a face area within the frame and estimation of its blur on the basis of statistical analysis of the pixel brightness coefficients enabled one to determine 94 % of undistorted frames obtained at automatic registration of the conference participants in the intelligent room.

Druh

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

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Automation and Remote Control

ISSN

0005-1179

e-ISSN

—

Svazek periodika

76

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

2011-2020

Kód UT WoS článku

000365177600010

EID výsledku v databázi Scopus

—