Andreopoulos A. and Tsotsos J. K., A Novel Algorithm for Fitting 3D Active Appearance Models: Applications
to Cardiac MRI Segmentation, In Proceedings of the 14th Scandinavian Conference on Image Analysis,
Joensuu, Finland, 2005.

Abstract:
We present an efficient algorithm for fitting three dimensional
(3-D) Active Appearance Models (AAMs). We do so, by introducing
a 3-D extension of a recently proposed method that is based on
the inverse compositional image alignment algorithm. We demonstrate
its applicability for the segmentation of the left ventricle in short axis
cardiac MRI.We perform experiments to evaluate the speed and segmentation
accuracy of our algorithm on a total of 1473 cardiac MR images
acquired from 11 patients. The fitting is around 60 times faster than standard
Gauss-Newton optimization, with a segmentation accuracy that is
as good as, and often better than Gauss-Newton.  [PDF]

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