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Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FG'02)
Face Identification across Different Poses and Illuminations with a 3D Morphable Model
Washinton D.C.
May 20-May 21
ISBN: 0-7695-1602-5
ASCII Text
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V. Blanz, S. Romdhani, T. Vetter, "Face Identification across Different Poses and Illuminations with a 3D Morphable Model," Automatic Face and Gesture Recognition, IEEE International Conference on, pp. 0202, Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FG'02), 2002.
 
 
BibTex
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@article{ 10.1109/AFGR.2002.1004155,
author = {V. Blanz and S. Romdhani and T. Vetter},
title = {Face Identification across Different Poses and Illuminations with a 3D Morphable Model},
journal ={Automatic Face and Gesture Recognition, IEEE International Conference on},
volume = {0},
year = {2002},
isbn = {0-7695-1602-5},
pages = {0202},
doi = {http://doi.ieeecomputersociety.org/10.1109/AFGR.2002.1004155},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Automatic Face and Gesture Recognition, IEEE International Conference on
TI - Face Identification across Different Poses and Illuminations with a 3D Morphable Model
SN - 0-7695-1602-5
SP
EP
A1 - V. Blanz,
A1 - S. Romdhani,
A1 - T. Vetter,
PY - 2002
KW - Face Recognition
KW - Generative Models
KW - 3D Face Models
KW - Morphing
KW - Deformable Models
KW - Illumination and Pose Modeling
KW - Shape Estimate
VL - 0
JA - Automatic Face and Gesture Recognition, IEEE International Conference on
ER -
 
V. Blanz, University of Freiburg
S. Romdhani, University of Freiburg
T. Vetter, University of Freiburg
We present a novel approach for recognizing faces in images taken from different directions and under different illumination. The method is based on a 3D morphable face model that encodes shape and texture in terms of model parameters, and an algorithm that recovers these parameters from a single image of a face. For face identification, we use the shape and texture parameters of the model that are separated from imaging parameters, such as pose and illumination. In addition to the identity, the system provides a measure of confidence. We report experimental results for more than 4000 images from the publicly available CMU-PIE database.
Index Terms:
Face Recognition, Generative Models, 3D Face Models, Morphing, Deformable Models, Illumination and Pose Modeling, Shape Estimate
Citation:
V. Blanz, S. Romdhani, T. Vetter, "Face Identification across Different Poses and Illuminations with a 3D Morphable Model," fg, pp.0202, Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FG'02), 2002
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