A comprehensive survey paper on the topic of visual privacy in facial biometrics has been accepted in the IEEE Transactions on Information Forensics and Security (SCI IF 2020: 7,178). The paper titled “Privacy-Enhancing Face Biometrics: A Comprehensive Survey” was written in the scope of the ARRS project J2–1734 “Face deidentification with generative deep models” and in collaboration with the University of Notre Dame, Michigan State University and Fraunhofer IGD.
Paper authors: Blaž Meden, Peter Rot, Philipp Terhorst, Naser Damer, Arjan Kuijper, Arun Ross, Walter Scheirer, Peter Peer and Vitomir Štruc
The paper is available in open access from HERE.
