2004 | OriginalPaper | Buchkapitel
Groupwise Diffeomorphic Non-rigid Registration for Automatic Model Building
verfasst von : T. F. Cootes, S. Marsland, C. J. Twining, K. Smith, C. J. Taylor
Erschienen in: Computer Vision - ECCV 2004
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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We describe a framework for registering a group of images together using a set of non-linear diffeomorphic warps. The result of the groupwise registration is an implicit definition of dense correspondences between all of the images in a set, which can be used to construct statistical models of shape change across the set, avoiding the need for manual annotation of training images. We give examples on two datasets (brains and faces) and show the resulting models of shape and appearance variation. We show results of experiments demonstrating that the groupwise approach gives a more reliable correspondence than pairwise matching alone.