99 search results - page 3 / 20 » Pairwise Markov Random Fields and its Application in Texture... |
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the...
Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
We present a novel representation for modeling textured
regions subject to smooth variations in orientation and
scale. Utilizing the steerable pyramid of Simoncelli and
Freeman ...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature...
ICIP
2000
IEEE
14 years 7 months ago
2000
IEEE
This paper presents a new definition of a spatial entropy mainly based on the Markov Random Field (MRF) properties. Starting with the study of the entropy proposed in [1] for the ...