• DocumentCode
    247735
  • 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
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    248
  • Lastpage
    252
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025049
  • Filename
    7025049
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=247735