Perceptual discrimination of computer generated and photographic faces

被引:53
作者
Farid, Hany [1 ]
Bravo, Mary J. [2 ]
机构
[1] Dartmouth Coll, Dept Comp Sci, Hanover, NH 03755 USA
[2] Rutgers State Univ, Dept Psychol, Piscataway, NJ 08855 USA
基金
美国国家科学基金会;
关键词
Digital forensics; Photo forensics; Human perception; Photorealism; Computer generated imagery;
D O I
10.1016/j.diin.2011.06.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Modern day computer graphics are capable of generating highly photorealistic images resulting in challenging legal situations. For example, as a result of a 2002 U.S. Supreme Court ruling, computer generated child pornography is protected speech, while pornographic photographs depicting an actual child remains illegal. The ability to distinguish between protected and illegal material assumes that law enforcement agents, attorneys, jurors, and judges can reliably distinguish between computer generated and photographic imagery. We describe a series of psychophysical experiments that used images of varying resolution, JPEG compression, and color to explore the ability of observers to distinguish computer generated from photographic images of people. The results allow us to assign a probability that an image that is judged to be a photograph is, in fact, a photograph. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:226 / 235
页数:10
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