Significant improvements have been recently achieved in both quality and realism of computer generated characters, which are nowadays often very difficult to be distinguished from real ones. However, generating highly realistic facial expressions is still a challenging issue, since synthetic expressions usually follow a repetitive pattern, while in natural faces the same expression is usually produced in similar but not equal ways. In this paper, we propose a method to distinguish between computer generated and natural faces based on facial expressions analysis. In particular, small variations of the facial shape models corresponding to the same expression are used as evidence of synthetic characters. © 2012 IEEE.

Identify computer generated characters by analyzing facial expressions variation

Dang Nguyen, Duc Tien;Boato, Giulia;De Natale, Francesco
2012-01-01

Abstract

Significant improvements have been recently achieved in both quality and realism of computer generated characters, which are nowadays often very difficult to be distinguished from real ones. However, generating highly realistic facial expressions is still a challenging issue, since synthetic expressions usually follow a repetitive pattern, while in natural faces the same expression is usually produced in similar but not equal ways. In this paper, we propose a method to distinguish between computer generated and natural faces based on facial expressions analysis. In particular, small variations of the facial shape models corresponding to the same expression are used as evidence of synthetic characters. © 2012 IEEE.
2012
Proceedings of WIFS2012
Stati Uniti d'America
IEEE
9781467322874
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/11572/94632
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