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Thread Subject:
active appearance models

Subject: active appearance models

From: Vinod

Date: 18 Dec, 2009 15:23:02

Message: 1 of 1

Hello Friends,

I am developing AAMs for faces. I have been going through the works of Tim Cootes and others. I have done the initial work of aligning the images using procrustes transform and also found out the mean.

I am a bit confused in modelling shape variations. For this basically I shall need to follow the steps below-
1) Compute the mean(¹x).
2) Compute the covariance of the data set. Covariance is S
3)Compute the eigenvectors,and corresponding eigenvalues of S.
4)If eigenvectors contains the 't' eigenvectors corresponding to the largest eigenvalues, then we can then approximate any of the training set, 'x' using the relation x = ¹x + eigenvectors*b.The vector b de¯nes a set of parameters of a deformable model.

This 'B' is what I am stuck with . Could you please explain or even hint me on how I can get this ?

please refer page 17 of this document

Thanks and Regards,
Vinod Karuvat.

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