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View-based active appearance models

We demonstrate that a small number of 2D linear statistical models are sufficient to capture the shape and appearance of a face from a wide range of viewpoints. Such models can be used to estimate head orientation and track faces through large angles. Given multiple images of the same face we can le...

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Bibliographic Details
Published in:Image and vision computing 2002-08, Vol.20 (9), p.657-664
Main Authors: Cootes, T.F, Wheeler, G.V, Walker, K.N, Taylor, C.J
Format: Article
Language:English
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Summary:We demonstrate that a small number of 2D linear statistical models are sufficient to capture the shape and appearance of a face from a wide range of viewpoints. Such models can be used to estimate head orientation and track faces through large angles. Given multiple images of the same face we can learn a coupled model describing the relationship between the frontal appearance and the profile of a face. This relationship can be used to predict new views of a face seen from one view and to constrain search algorithms which seek to locate a face in multiple views simultaneously.
ISSN:0262-8856
1872-8138
DOI:10.1016/S0262-8856(02)00055-0