DocumentCode :
438988
Title :
3D head pose estimation using range images for face recognition
Author :
Song, Hwanjong ; Sohn, Kwanghoon
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
Volume :
2
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
1256
Abstract :
This paper describes a robust three-dimensional (3D) head pose estimation method based on face geometry and linear regression model. Given an unknown range image, we extract six invariant facial features based on face curvature characteristics. For estimating the head pose, we estimate the initial head pose using the SVD method, and perform a refinement procedure to compensate for remaining errors for the X and Y axis. To compensate for the Z axis, we orthogonally project feature points onto the Z plane and estimate the face center line based on the linear regression model. Experimental results show that less than a 0.5 degree error on average for each axis has been achieved.
Keywords :
face recognition; geometry; gesture recognition; regression analysis; singular value decomposition; 3D head pose estimation; SVD method; face geometry; face recognition; linear regression model; Face detection; Face recognition; Facial features; Head; Image databases; Image generation; Lighting; Linear regression; Robustness; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1469026
Filename :
1469026
Link To Document :
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