Given the recent development of advanced multimedia techniques able to support the creation of realistic computer generated characters, there is the parallel need of automatic tools allowing users to verify the source of the multimedia data they are observing, thus discriminating between artificial and natural information. In this paper, we focus on video representing human beings and we propose a novel method to identify computer generated characters by analysing the evolution of the face model in chronological order. Experimental results show that photorealistic facial animations, which are usually performed following fixed patterns, can be distinguished from natural ones, which follow much more complicated and various geometric distortions.

Revealing synthetic facial animations of realistic characters

Dang Nguyen, Duc Tien;Boato, Giulia;De Natale, Francesco
2014-01-01

Abstract

Given the recent development of advanced multimedia techniques able to support the creation of realistic computer generated characters, there is the parallel need of automatic tools allowing users to verify the source of the multimedia data they are observing, thus discriminating between artificial and natural information. In this paper, we focus on video representing human beings and we propose a novel method to identify computer generated characters by analysing the evolution of the face model in chronological order. Experimental results show that photorealistic facial animations, which are usually performed following fixed patterns, can be distinguished from natural ones, which follow much more complicated and various geometric distortions.
2014
2014 IEEE International Conference on Image Processing, ICIP 2014
USA
Institute of Electrical and Electronics Engineers Inc.
9781479957514
9781479957514
Dang Nguyen, Duc Tien; Boato, Giulia; De Natale, Francesco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/161236
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