| Abstract |
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We present an approach for aligning a 3D deformable
model to a single face image. The model consists of a set
of sparse 3D points and the view-based patches associated
with every point. Assuming a weak perspective projection
model, our algorithm iteratively deforms the model and ad-
justs the 3D pose to fit the image. As opposed to previous
approaches, our algorithm starts the fitting without resort-
ing to manual labeling of key facial points. And it makes
no assumptions about global illumination or surface prop-
erties, so it can be applied to a wide range of imaging con-
ditions. Experiments demonstrate that our approach can
effectively handle unseen faces with a variety of pose and
illumination variations.
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 Additional Information
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Citation:
Lie Gu, Takeo Kanade,
"3D Alignment of Face in a Single Image,"
cvpr,
pp. 1305-1312,
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06),
2006
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