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CVPR
1999
IEEE

Simultaneous Extraction of Functional Face Subspaces

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Simultaneous Extraction of Functional Face Subspaces
Facial variation divides into a number of functional subspaces. An improved method of measuring these was designed, within the space defined by an Appearance Model. Initial estimates of the subspaces (lighting, pose, identity, expression) were obtained by Principal Components Analysis on appropriate groups of faces. An iterative algorithm was applied to image codings to maximise the probability of coding across these non-orthogonal subspaces before obtaining the projection on each sub-space and recalculating the spaces. This procedure enhances identity recognition, reduces overall sub-space variance and produces Principal Components with greater span and less contamination.
Nicholas Costen, Timothy F. Cootes, Gareth J. Edwa
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 1999
Where CVPR
Authors Nicholas Costen, Timothy F. Cootes, Gareth J. Edwards, Christopher J. Taylor
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