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An '''Active Appearance Model''' (AAM) is a [[Computer Vision]] algorithm for matching a [[statistical model]] of object shape and apperance to a new image.
The approach is widely used for matching and tracking faces and for [[Medical Image Interpretation]].
 
The algorithm uses the difference between the current estimate of appearance and the target image to drive an optimisation[[Optimization (mathematics)|optimization]] process.
By taking advantage of the [[least squares]] techniques, it can match to new images very swiftly.
 
It is related to the [[Active Shape Model]].
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* [http://www.isbe.man.ac.uk/~bim//Models/index.html Description] of AAMs from Manchester University.
* [http://www.isbe.man.ac.uk/~bim Tim Cootes'] home page (one of the original co-inventors of AAMs).
 
[[Category:Computer vision]]