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%2F00216305%3A26220%2F17%3APU127893" target="_blank" >RIV/00216305:26220/17:PU127893 - isvavai.cz</a>
Alternative codes found
RIV/25313436:_____/17:N0000001
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
<a href="http://dx.doi.org/10.1109/ICETCCT.2017.8280304" target="_blank" >10.1109/ICETCCT.2017.8280304</a>
Alternative languages
Result language
angličtina
Original language name
Facial image de-identification using active appearance model
Original language description
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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20206 - Computer hardware and architecture
Result continuities
Project
<a href="/en/project/VI20172020105" target="_blank" >VI20172020105: Automated panoramic surveillance system for the safety of persons and property in sports stadiums</a><br>
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
ISBN
978-1-5386-1147-0
ISSN
—
e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Dehradun, India
Event location
Dehradun
Event date
Nov 17, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426970400013