Distinguishable de-identified faces

Sun, Zongji, Meng, Li and Ariyaeeinia, A. (2015) Distinguishable de-identified faces. In: Procs 2015 11th IEEE Int Conf and Workshops on Automatic Face and Gesture Recognition (FG) :. Institute of Electrical and Electronics Engineers (IEEE), SVN. ISBN 978-1-4799-6026-2
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The k-anonymity approach adopted by k-Same face de-identification methods enables these methods to serve their purpose of privacy protection. However, it also forces every k original faces to share the same de-identified face, making it impossible to track individuals in a k-Same de-identified video. To address this issue, this paper presents an approach to the creation of distinguishable de-identified faces. This new approach can serve privacy protection perfectly whilst producing de-identified faces that are as distinguishable as their original faces.


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