A Riemannian Framework for Tensor Computing

作者:Xavier Pennec, Pierre Fillard, Nicholas Ayache

摘要

Tensors are nowadays a common source of geometric information. In this paper, we propose to endow the tensor space with an affine-invariant Riemannian metric. We demonstrate that it leads to strong theoretical properties: the cone of positive definite symmetric matrices is replaced by a regular and complete manifold without boundaries (null eigenvalues are at the infinity), the geodesic between two tensors and the mean of a set of tensors are uniquely defined, etc.

论文关键词:tensors, diffusion tensor MRI, regularization, interpolation, extrapolation, PDE, Riemannian manifold, affine-invariant metric

论文评审过程:

论文官网地址:https://doi.org/10.1007/s11263-005-3222-z