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Line 1: An '''Active Appearance Model (AAM)''' is a [[computer vision]] algorithm for matching a [[statistical model]] of object shape and appearance to a new image. They are built during a training phase. A set of images together with coordinates of landmarks, that appear in all of the images is provided by the training supervisor. The approach is widely used for matching and tracking faces and for [[medical imaging\|medical image interpretation]]. The algorithm uses the difference between the current estimate of appearance and the target image to drive an [[Optimization (mathematics)\|optimization]] process.

Active appearance model: Difference between revisions