Model-based 3D face capture with shape-from-silhouettes

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Model-based 3D face capture with shape-from-silhouettes

Moghaddam, B. / Lee, J. / Pfister, H. / Raghu Machiraju,

We present a method for 3D face acquisition using a set or sequence of 2D binary silhouettes. Since silhouette images depend only on the shape and pose of an object, they are immune to lighting and/or texture variations (unlike feature or texture-based shape-from-correspondence). Our prior 3D face model is a linear combination of "eigenheads" obtained by applying PCA to a training set of laser-scanned 3D faces. These shape coefficients are the parameters for a near-automatic system for capturing the 3D shape as well as the 2D texture-map of a novel input face. Specifically, we use back-projection and a boundary-weighted XOR-based cost function for binary silhouette matching, coupled with a probabilistic "downhill-simplex" optimization for shape estimation and refinement. Experiments with a multicamera rig as well as monocular video sequences demonstrate the advantages of our 3D modeling framework and ultimately, its utility for robust face recognition with built-in invariance to pose and illumination.

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Title :

Model-based 3D face capture with shape-from-silhouettes

Contributors:

Moghaddam, B. (author) / Lee, J. (author) / Pfister, H. (author) / Raghu Machiraju, (author)

Published in:

2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443) ; 20-27

Publication date :

2003-01-01

Size :

936119 byte

ISBN :

0-7695-2010-3

DOI :

https://doi.org/10.1109/AMFG.2003.1240819

Type of media :

Conference paper

Type of material :

Electronic Resource

Language :

English

Moghaddam, B. / Lee, J. / Pfister, H. et al. | British Library Conference Proceedings | 2003

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