Active appearance model: Difference between revisions

Revision as of 15:01, 26 June 2006

Latest revision as of 03:37, 23 July 2023

(43 intermediate revisions by 33 users not shown)

Line 1:

An 'Active''active Appearanceappearance Modelmodel''' ('''AAM''') is a [[Computercomputer Visionvision]] algorithm for matching a [[statistical model]] of object shape and apperanceappearance 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 approach is widely used for matching and tracking faces and for [[Medical Image Interpretation]].

The model was first introduced by Edwards, Cootes and Taylor in the context of face analysis at the 3rd International Conference on Face and Gesture Recognition, 1998.<ref>{{Cite book | last1 = Edwards | first1 = G. J. | last2 = Taylor | first2 = C. J. | last3 = Cootes | first3 = T. F. | doi = 10.1109/AFGR.1998.670965 | chapter = Interpreting face images using active appearance models | title = Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition | pages = 300 | year = 1998 | isbn = 978-0-8186-8344-2 | citeseerx = 10.1.1.33.1784 | s2cid = 11269423 }}</ref> Cootes, Edwards and Taylor further described the approach as a general method in computer vision at the European Conference on Computer Vision in the same year.<ref>{{Cite book | last1 = Cootes | first1 = T. F. | last2 = Edwards | first2 = G. J. | last3 = Taylor | first3 = C. J. | doi = 10.1007/BFb0054760 | chapter = Active appearance models | title = Computer Vision — ECCV'98 | series = Lecture Notes in Computer Science | volume = 1407 | pages = 484 | year = 1998 | isbn = 978-3-540-64613-6 | citeseerx = 10.1.1.374.7954 | s2cid = 2230657 }}</ref><ref>{{Cite journal | last1 = Cootes | first1 = T. F. | last2 = Edwards | first2 = G. J. | last3 = Taylor | first3 = C. J. | doi = 10.1109/34.927467 | title = Active appearance models | journal = IEEE Transactions on Pattern Analysis and Machine Intelligence | volume = 23 | issue = 6 | pages = 681 | year = 2001 | citeseerx = 10.1.1.128.4967 }}</ref> The approach is widely used for [[face tracking|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 optimisation process.

By taking advantage of the least squares techniques, it can match to new images very swiftly.

The algorithm uses the difference between the current estimate of appearance and the target image to drive an optimisation[[Optimization (mathematics)|optimization]] process.

It is related to the [[Active Shape Model]].

By taking advantage of the [[least squares]] techniques, it can match to new images very swiftly.

It is related to the [[active shape model]] (ASM). One disadvantage of ASM is that it only uses shape constraints (together with some information about the image structure near the [[Landmark point|landmarks]]), and does not take advantage of all the available information – the texture across the target object. This can be modelled using an AAM.

==References==

{{Reflist}}

== Some reading ==

* T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham. [https://pdfs.semanticscholar.org/e8f2/e06238ecd873b044740e9e95dd7592feb139.pdf 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. [https://perso.telecom-paristech.fr/angelini/MIMED/papers_2010/mitchell_tmi_2002.pdf 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[https://www.cs.cmu.edu/~efros/courses/AP06/Papers/cootes-eccv-98.pdf [pdf<nowiki>]</nowiki>]

==External links==

* [http://personalpages.manchester.ac.uk/staff/timothy.f.cootes/software/am_tools_doc/index.html Professor Tim Cootes AAM Code] Free Tools for experimenting with AAMs from Manchester University (for research use only).

* [http://personalpages.manchester.ac.uk/staff/timothy.f.cootes/Models/aam.html Professor Tim Cootes AAM Page] Co-creator of AAM page from Manchester University.

* [http://www2.imm.dtu.dk/~aam/ IMM AAM Code] Dr Mikkel B. Stegmann's home page of AAM-API, C++ AAM implementation (non-commercial use only).

* [http://www.mathworks.com/matlabcentral/fileexchange/26706-active-shape-model-asm-and-active-appearance-model-aam Matlab AAM Code] Open-source Matlab implementation of the original AAM algorithm.

* [http://cvsp.cs.ntua.gr/software/AAMtools/ AAMtools] An Active Appearance Modelling Toolbox in Matlab by Dr George Papandreou.

* [https://web.archive.org/web/20150122191259/http://staff.estem-uc.edu.au/roland/research/demolib-home/ DeMoLib] AAM Toolbox in C++ by Dr Jason Saragih and Dr Roland Goecke.

[[Category:Computer vision]]