Facial image de-identification using active appearance model
The result's identifiers
Result code in 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>
Alternative codes found
RIV/00216305:26220/17:PU127893
Result on the web
<a href="https://ieeexplore.ieee.org/document/8280304/" target="_blank" >https://ieeexplore.ieee.org/document/8280304/</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Facial image de-identification using active appearance model
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)
ISBN
978-1-5386-1147-0
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
Dehradun, India
Event location
Dehradun, India
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—