24 search results - page 1 / 5 » Bayesian selection of scaling laws for motion modeling in im... |
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Based on scaling laws describing the statistical structure
of turbulent motion across scales, we propose a multiscale
and non-parametric regularizer for optic-flow estimation.
R...
ECCV
1998
Springer
14 years 6 months ago
1998
Springer
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
ICCV
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
Anatomical objects often have complex and varying image appearance at different portions of the boundary; and it is frequently a challenge even to select appropriate scales at whic...
TIP
2008
13 years 4 months ago
2008
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...