@inproceedings{5e136c0029c04549a5309485200a524d,
title = "Groupwise diffeomorphic non-rigid registration for automatic model building",
abstract = "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. {\textcopyright} Springer-Verlag Berlin Heidelberg 2004.",
author = "Cootes, {T. F.} and S. Marsland and Twining, {C. J.} and K. Smith and Taylor, {C. J.}",
note = "8th European Conference on Computer Vision MAY 11-14, 2004 Prague, CZECH REPUBLIC; European Conference on Computer Vision ; Conference date: 01-01-1824",
year = "2004",
language = "English",
volume = "3024",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "316--327",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.",
address = "United States",
}