21 search results - page 1 / 5 » Describing texture directions with Von Mises distributions |
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
In this work we describe a new approach for texture characterization. Starting from the autocorrelation matrix an elegant description through a mixture of Von Mises distributions ...
ISCAS
2008
IEEE
14 years 5 days ago
2008
IEEE
— In this paper, a new statistical model is proposed for modeling the nature images in the transform domain. We demonstrate that the von Mises distribution (VM) fits accurately ...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
High angular resolution diffusion imaging (HARDI) permits the computation of water molecule displacement probabilities over a sphere of possible displacement directions. This proba...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
VTC
2006
IEEE
13 years 11 months ago
2006
IEEE
— Precise modelling of the Direction of Arrival (DoA) and Direction of Departure (DoD) of multipath components (MPCs) in a Multiple-Input Multiple-Output (MIMO) channel based on ...