477 search results - page 1 / 96 » Modeling Image Textures by Gibbs Random Fields |
174
Voted
Publication
Drawbacks of the traditional scenario of image modeling by Gibbs random fields with multiple pairwise pixel interactions are outlined, and a more reasonable alternative scenario b...
171
Voted
Publication
Gibbs random eld model with multiple pairwise pixel interactions describes each type of spatially homogeneous image textures in terms of a pixel neighbourhood and Gibbs potentials...
125
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
A new approach to align an image of a textured object with a given prototype is proposed. Visual appearance of the images, after equalizing their signals, is modeled with a Markov...
91
Voted
ICIP
1994
IEEE
16 years 1 months ago
1994
IEEE
117
click to vote
CVPR
2000
IEEE
16 years 2 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...