Facial image de-identification using active appearance model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25313436%3A_____%2F17%3AN0000001" target="_blank" >RIV/25313436:_____/17:N0000001 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/17:PU127893

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8280304/" target="_blank" >https://ieeexplore.ieee.org/document/8280304/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Facial image de-identification using active appearance model

Popis výsledku v původním jazyce

Abstract: Nowadays, the task of preservation of personal data present in public audio-visual records becomes more important. This paper describes an image processing method for de-identification of visual personal data based on a facial image. There are many primitive methods with high robustness but image quality of de-identified data is usually very poor. The advantages of this proposed method include especially very good results in quality preservation of the original image data and the possibility of a partial image reconstruction from de-identified data. The main objective has been achieved by using Active Appearance Model algorithm tested on a created database with the overall success rate of automatic recognition tool around 0.8 %. The de-identified image data look also authentic and it is possible to determine the expression or gender of the de-identified person.

Název v anglickém jazyce

Facial image de-identification using active appearance model

Popis výsledku anglicky

Abstract: Nowadays, the task of preservation of personal data present in public audio-visual records becomes more important. This paper describes an image processing method for de-identification of visual personal data based on a facial image. There are many primitive methods with high robustness but image quality of de-identified data is usually very poor. The advantages of this proposed method include especially very good results in quality preservation of the original image data and the possibility of a partial image reconstruction from de-identified data. The main objective has been achieved by using Active Appearance Model algorithm tested on a created database with the overall success rate of automatic recognition tool around 0.8 %. The de-identified image data look also authentic and it is possible to determine the expression or gender of the de-identified person.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20202 - Communication engineering and systems

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)

ISBN

978-1-5386-1147-0

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

IEEE

Místo vydání

Dehradun, India

Místo konání akce

Dehradun, India

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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