Digital human face detection in video sequences via a physiological signal analysis

被引：4

作者：

Bonomi, Mattia ^{[1
]}

Boato, Giulia ^{[1
]}

机构：

[1] Univ Trento, Dept Engn & Comp Sci, Trento, Italy

来源：

JOURNAL OF ELECTRONIC IMAGING | 2020年 / 29卷 / 01期

关键词：

digital humans; computer-generated faces; physiological signals; heart rate; video forensics; IMAGES;

D O I：

10.1117/1.JEI.29.1.013009

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Imagine a future in which computer-generated (CG) human characters become almost indistinguishable from real humans. It is not that far away. Real-time rendering of photorealistic facial animation is just around the corner. To prepare for this world in which CG content will be intermingled with the natural, there is a fundamental need to understand how human beings can preserve the awareness of what is real and what is not. We present a methodology for distinguishing real and CG human faces within the context of multimedia forensics, by exploiting the heart rate as the discriminating feature. The underlying idea is that humans always present a pulse signal that can be automatically extracted from a video sequence depicting their face, while this is not the case for virtual humans. Experimental validation shows the effectiveness of the proposed solution. (C) 2020 SPIE and IS&T

引用

页数：10

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