Published October 1, 2006
| Version v1
Conference paper
Statistics on Diffeomorphisms in a Log-Euclidean Framework
Contributors
Others:
- Medical imaging and robotics (EPIDAURE) ; Centre Inria d'Université Côte d'Azur (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- DOSIsoft ; DOSIsoft
- Xavier Pennec and Sarang Joshi
- Session 01 : Statistics on diffeomorphisms
Description
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 notion of principal logarithm. Remarkably, this logarithm is a simple 3D vector field, and can be used for diffeomorphisms close enough to the identity. This allows to perform vectorial statistics on diffeomorphisms, while preserving the invertibility constraint, contrary to Euclidean statistics on displacement fields.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/inria-00635671
- URN
- urn:oai:HAL:inria-00635671v1
Origin repository
- Origin repository
- UNICA