Jump to content

Active shape model

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by 204.52.215.1 (talk) at 20:07, 23 May 2006. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

The Active Shape Model is a well known contour model used in image processing. An active shape model is constructed by taking a set of points around the outline of an object. As the object moves so do the corresponding points. The distribution of these points can then be examined by statistical techniques such as principal components analysis to find the dominant modes of variation. A combination of these modes is then used to construct a model of how the shape of an object changes with time.

Active shape models are often used for biological data such as a walking person, and used as a technique for indentifying an object in a scene.

The Active Shape Model Toolkit is a set of software tools for image interpretation developed by Dr Tim Cootes, a research fellow at the Wolfson Image Analysis Unit of the University of Manchester. The toolkit provides a variety of two-dimensional image analysis techniques intended for applications in industry, medicine and science. The toolkit is available as an add-on for MatLab.

See also