Active appearance model: Difference between revisions

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Revision as of 17:14, 18 October 2012

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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 to the training supervisor.

The model was introduced by Cootes, Edwards and Taylor in 1998.<ref>{{cite doi|10.1007/BFb0054760}}</ref><ref>{{cite doi|10.1109/34.927467}}</ref> 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.

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== Some reading ==

* Edwards G, Taylor C, Cootes T. ''Interpreting face images using active appearance models Proceeding of the International Conference on Face And Gesture Recognition 1998, pages 300-305'' (first publication of AAM algorithm)

* T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. ''IEEE TPAMI, 23(6):681–685, 2001''

* T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham. Training models of shape from sets of examples. ''In Proceedings of BMVC’92, pages 266–275, 1992''

* S. C. Mitchell, J. G. Bosch, B. P. F. Lelieveldt, R. J. van der Geest, J. H. C. Reiber, and M. Sonka. 3-d active appearance models: Segmentation of cardiac MR and ultrasound images. ''IEEE Trans. Med. Imaging, 21(9):1167–1178, 2002''

* T.F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. ECCV, 2:484–498, 1998[http://www.cs.cmu.edu/~efros/courses/AP06/Papers/cootes-eccv-98.pdf [pdf<nowiki>]</nowiki>]

==References==

{{Reflist}}

[[Category:Computer vision]]