Title :
Controllable face privacy
Author :
Sim, Terence ; Li Zhang
Author_Institution :
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
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;
Conference_Titel :
Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on
Conference_Location :
Ljubljana
DOI :
10.1109/FG.2015.7163166