11 search results - page 1 / 3 » A Riemannian Framework for the Processing of Tensor-Valued I... |
DSSCV
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we present a novel framework to carry out computations on tensors, i.e. symmetric positive definite matrices. We endow the space of tensors with an affine-invariant...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper proposes a novel method to apply the standard graph cut technique to segmenting multimodal tensor valued images. The Riemannian nature of the tensor space is explicitly...
CVPR
2009
IEEE
2009
IEEE
A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI)
15 years 1 days ago
High angular resolution diffusion imaging has become an
important magnetic resonance technique for in vivo imaging.
Most current research in this field focuses on developing
met...
ISVC
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we explicitly derive a level set formulation for mean curvature flow in a Riemannian metric space. This extends the traditional geodesic active contour framework whi...
ICASSP
2009
IEEE
13 years 2 months ago
2009
IEEE
Recently, the covariance region descriptor [1] has been proved robust and versatile for a modest computational cost. It enables efficient fusion of different types of features. Ba...