Sciweavers

19 search results - page 1 / 4
» Blurring-Invariant Riemannian Metrics for Comparing Signals ...
Sort
View
ICCV
2011
IEEE
12 years 7 months ago
Blurring-Invariant Riemannian Metrics for Comparing Signals and Images
We propose a novel Riemannian framework for comparing signals and images in a manner that is invariant to their levels of blur. This framework uses a log-Fourier representation of...
Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pava...
ICASSP
2009
IEEE
13 years 5 months ago
Robust Bayesian tracking on Riemannian manifolds via fragments-based representation
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...
Yi Wu, Jinqiao Wang, Hanqing Lu
MICCAI
2009
Springer
14 years 8 months ago
A Riemannian Framework for Orientation Distribution Function Computing
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...
Jian Cheng, Aurobrata Ghosh, Tianzi Jiang, Rachid ...
ICASSP
2011
IEEE
12 years 11 months ago
Discrete regression methods on the cone of positive-definite matrices
We consider the problem of fitting a discrete curve to time-labeled data points on the set Pn of all n-by-n symmetric positive-definite matrices. The quality of a curve is measu...
Nicolas Boumal, Pierre-Antoine Absil
JMIV
2006
185views more  JMIV 2006»
13 years 7 months ago
Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
In medical image analysis and high level computer vision, there is an intensive use of geometric features like orientations, lines, and geometric transformations ranging from simp...
Xavier Pennec