Title :
Physiologically-based detection of computer generated faces in video
Author :
Conotter, V. ; Bodnari, E. ; Boato, G. ; Farid, H.
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
Abstract :
We describe a new forensic technique for distinguishing between computer generated and human faces in video. This technique identifies tiny fluctuations in the appearance of a face that result from changes in blood flow. Because these changes result from the human pulse, they are unlikely to be found in computer generated imagery. We use the absence or presence of this physiological signal to distinguish computer generated from human faces.
Keywords :
face recognition; image forensics; video signal processing; blood flow; computer generated faces; computer generated imagery; face appearance; forensic technique; human faces; human pulse; physiological signal; physiologically-based detection; video signal processing; Computers; Facial features; Feature extraction; Forensics; Head; Physiology; Solid modeling; CGI; Photo Realism; Video Forensics;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025049
