• DocumentCode
    724712
  • Title

    Real-time dense 3D face alignment from 2D video with automatic facial action unit coding

  • Author

    Jeni, Laszlo A. ; Girard, Jeffrey M. ; Cohn, Jeffrey F. ; Kanade, Takeo

  • Author_Institution
    Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2015
  • fDate
    4-8 May 2015
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Face alignment is the problem of automatically locating detailed facial landmarks across different subjects, illuminations, and viewpoints. Previous methods can be divided into two broad categories. 2D-based methods locate a relatively small number of 2D fiducial points in real time while 3D-based methods fit a high-resolution 3D model offline at a much higher computational cost.
  • Keywords
    face recognition; image coding; image resolution; lighting; video signal processing; 2D fiducial points; 2D video; 2D-based methods; 3D-based methods; automatic facial action unit coding; face alignment; facial landmarks; high-resolution 3D model; illuminations; real-time dense 3D face alignment; viewpoints; Conferences; Encoding; Face; Gold; Real-time systems; Streaming media; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on
  • Conference_Location
    Ljubljana
  • Type

    conf

  • DOI
    10.1109/FG.2015.7163165
  • Filename
    7163165