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Active appearance model

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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 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.


  • Free Tools for experimenting with AAMs from Manchester University.
  • Description of AAMs from Manchester University.
  • Tim Cootes' home page (one of the original co-inventors of AAMs).
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