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Groupwise Diffeomorphic Non-rigid Registration for Automatic Model Building

2020-03-25 | |  89 |   46 |   0

Abstract

We describe a framework for registering a group of images together using a set of non-linear difieomorphic 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 statis- tical 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 vari- ation. We show results of experiments demonstrating that the groupwise approach gives a more reliable correspondence than pairwise matching alone.

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