Modern computer graphics technologies brought realism in computer-generated characters, making them achieve truly natural appearance. Besides traditional virtual reality applications such as avatars, games, or cinema, these synthetic characters may be used to generate realistic fakes, which may lead to improper use of the technology. This fact raises the demand for advanced tools able to discriminate real and artificial human faces in digital media. In this paper, we propose a method to distinguish between computer generated and natural faces by modeling and evaluating their dynamic behavior. Because of a 3D-model-based video analysis, the proposed technique allows identifying synthetic characters by detecting their more limited variability over time. Experimental results demonstrate the effectiveness of the proposed approach also on very challenging and realistic video sequences.

3D-Model-Based Video Analysis for Computer Generated Faces Identification / Dang Nguyen, Duc Tien; Boato, Giulia; De Natale, Francesco. - In: IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY. - ISSN 1556-6013. - 10:8(2015), pp. 1752-1763. [10.1109/TIFS.2015.2427778]

3D-Model-Based Video Analysis for Computer Generated Faces Identification

Dang Nguyen, Duc Tien;Boato, Giulia;De Natale, Francesco
2015

Abstract

Modern computer graphics technologies brought realism in computer-generated characters, making them achieve truly natural appearance. Besides traditional virtual reality applications such as avatars, games, or cinema, these synthetic characters may be used to generate realistic fakes, which may lead to improper use of the technology. This fact raises the demand for advanced tools able to discriminate real and artificial human faces in digital media. In this paper, we propose a method to distinguish between computer generated and natural faces by modeling and evaluating their dynamic behavior. Because of a 3D-model-based video analysis, the proposed technique allows identifying synthetic characters by detecting their more limited variability over time. Experimental results demonstrate the effectiveness of the proposed approach also on very challenging and realistic video sequences.
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Dang Nguyen, Duc Tien; Boato, Giulia; De Natale, Francesco
3D-Model-Based Video Analysis for Computer Generated Faces Identification / Dang Nguyen, Duc Tien; Boato, Giulia; De Natale, Francesco. - In: IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY. - ISSN 1556-6013. - 10:8(2015), pp. 1752-1763. [10.1109/TIFS.2015.2427778]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/121881
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