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'''Active shape models (ASMs)''' are [[statistical model]]s of the [[shape]] of objects which iteratively deform to fit to an example of the object in a new image, developed by Tim Cootes and Chris Taylor in 1995 <ref name=Cootes>{{citejournalcite journal| author=T.F. Cootes and C.J. Taylor and D.H. Cooper and J. Graham| title=Active shape models - their training and application| journal=Computer Vision and Image Understanding| pages=38--5938–59| year=1995| issue=61}} [http://www.cs.ualberta.ca/~nray1/CMPUT615/Snake/cootes_cviu95.pdf]</ref>. The shapes are constrained by the PDM ([[point distribution model]]) [[Statistical Shape Model]] to vary only in ways seen in a training set of labelled examples.
The shape of an object is represented by a set of points (controlled by the shape model). The ASM algorithm aims to match the model to a new image. It works by alternating the following steps:
* Look in the image around each point for a better position for that point
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It is closely related to the [[active appearance model]]. It is also known as a “Smart Snakes”<ref name=Cootes/> method, since it is analog to an [[active contour model]] which would respect explicit shape constraints.
 
==References==
<references/>
 
==See also==
* [[Procrustes analysis]]
* [[Point distribution model]]
 
==References==
<references/>
 
==External links==
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* [http://www.milbo.users.sonic.net/stasm Source code] for ASMs (the "stasm" library).
 
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[[Category:Computer vision]]
 
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[[ar:نموذج الشكل المتغير]]
[[de:Active Shape Model]]
[[ru:Активная модель формы]]