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» A Log-Euclidean Framework for Statistics on Diffeomorphisms
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MICCAI
2006
Springer
14 years 11 months ago
A Log-Euclidean Framework for Statistics on Diffeomorphisms
In this article, we focus on the computation of statistics of invertible geometrical deformations (i.e., diffeomorphisms), based on the generalization to this type of data of the n...
Vincent Arsigny, Olivier Commowick, Xavier Pennec,...
CVPR
2008
IEEE
15 years 27 days ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
MICCAI
2008
Springer
15 years 1 days ago
Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach
Abstract. Modern morphometric studies use non-linear image registration to compare anatomies and perform group analysis. Recently, logEuclidean approaches have contributed to promo...
Tom Vercauteren, Xavier Pennec, Aymeric Perchant...
BMVC
2010
13 years 9 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
MICCAI
2006
Springer
14 years 11 months ago
Towards a Statistical Atlas of Cardiac Fiber Structure
We propose here a framework to build a statistical atlas of diffusion tensors of canine hearts. The anatomical images of seven hearts are first non-rigidly registered in the same r...
Jean-Marc Peyrat, Maxime Sermesant, Xavier Pennec,...