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» Efficient Belief Propagation for Early Vision
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ECCV
2008
Springer
14 years 4 months ago
Toward Global Minimum through Combined Local Minima
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
CVPR
2010
IEEE
14 years 1 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
CVPR
2010
IEEE
13 years 9 months ago
Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference
In this paper, we present an approach to multi-view image-based 3D reconstruction by statistically inversing the ray-tracing based image generation process. The proposed algorithm...
Shubao Liu, David Cooper
CVPR
2004
IEEE
13 years 9 months ago
Efficient Graphical Models for Processing Images
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
Marshall F. Tappen, Bryan C. Russell, William T. F...
CVPR
2007
IEEE
14 years 8 months ago
Efficient MRF Deformation Model for Non-Rigid Image Matching
We propose a novel MRF-based model for deformable image matching (also known as registration). The deformation is described by a field of discrete variables, representing displace...
Alexander Shekhovtsov, Ivan Kovtun, Václav ...