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2001
IEEE

Using affine correspondence to estimate 3-D facial pose

9 years 10 months ago
Using affine correspondence to estimate 3-D facial pose
We describe a method for tracking a person's face through an image sequence and estimating the 3-D facial pose within each frame. It is based on an affine approximation to the motion of projected facial features such as eyes, mouth and nose. Tracking stability is maintained by enforcing the affine relationship amongst the motion of the features using linear regression and a Kalman filter. Facial pose is estimated using an ellipse-circle correspondence technique based on the affine transformation between the features in the current view and those in a fronto-parallel view. The method has the advantage of being simple to implement and not relying on assumed facial characteristics.
Pingping Yao, Glyn Evans, Andrew D. Calway
Added 25 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2001
Where ICIP
Authors Pingping Yao, Glyn Evans, Andrew D. Calway
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