477 search results - page 84 / 96 » Modeling Image Textures by Gibbs Random Fields |
105
Voted
IVC
2008
14 years 10 months ago
2008
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
99
Voted
ACMACE
2009
ACM
14 years 8 months ago
2009
ACM
In this paper we propose a novel approach for generating expressive caricatures from an input image. The novelty of this work comes from combining an Active Appearance Model facia...
71
Voted
ICIP
2006
IEEE
15 years 12 months ago
2006
IEEE
This paper presents separation of specular and diffuse reflection components from an image pair. The proposed approach is based on the dichromatic reflectance model and Markov ran...
84
Voted
MICCAI
2000
Springer
15 years 1 months ago
2000
Springer
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...
110
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CVPR
2004
IEEE
16 years 7 days ago
2004
IEEE
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...