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
Link To Document :
بازگشت