DocumentCode
724713
Title
Controllable face privacy
Author
Sim, Terence ; Li Zhang
Author_Institution
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
fYear
2015
fDate
4-8 May 2015
Firstpage
1
Lastpage
1
Abstract
We present how to controllably protect face privacy by synthesis. The synthesized face in our system can protect identity privacy, and also allow other computer vision analyses, such as gender detection, to proceed unimpeded. This is therefore useful for reaping the benefits of surveillance cameras while preventing privacy abuse. Extensive experiments show that our synthesis method is effective.
Keywords
data privacy; face recognition; image sensors; surveillance; computer vision analyses; controllable face privacy; gender detection; identity privacy; privacy abuse; surveillance cameras; synthesis method; Cameras; Computer vision; Control systems; Face; Privacy; Surveillance; Visual analytics;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on
Conference_Location
Ljubljana
Type
conf
DOI
10.1109/FG.2015.7163166
Filename
7163166
Link To Document