Deep autoencoders for attribute preserving face de-identification

The mass availability of mobile devices equipped with cameras has lead to increased public privacy concerns in recent years. Face de-identification is a necessary first step towards anonymity preservation, and can be trivially solved by blurring or concealing detected faces. However, such naive priv...

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Veröffentlicht in:	Signal processing. Image communication 2020-02, Vol.81, p.115699, Article 115699
Hauptverfasser:	Nousi, Paraskevi, Papadopoulos, Sotirios, Tefas, Anastasios, Pitas, Ioannis
Format:	Artikel
Sprache:	eng
Schlagworte:	Attribute preservation Autoencoders Blurring Coders Deep learning Electronic devices Face de-identification Identification Identification methods Privacy
Online-Zugang:	Volltext
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