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» Markov Random Field Models in Computer Vision
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BMCBI
2011
14 years 8 months ago
Accurate statistics for local sequence alignment with position-dependent scoring by rare-event sampling
Background: Molecular database search tools need statistical models to assess the significance for the resulting hits. In the classical approach one asks the question how probable...
Stefan Wolfsheimer, Inke Herms, Sven Rahmann, Alex...
ECCV
2002
Springer
16 years 3 months ago
Dynamic Trees: Learning to Model Outdoor Scenes
Abstract. This paper considers the dynamic tree (DT) model, first introduced in [1]. A dynamic tree specifies a prior over structures of trees, each of which is a forest of one or ...
Nicholas J. Adams, Christopher K. I. Williams
CVPR
2003
IEEE
16 years 3 months ago
3D Surface Modeling from Range Curves
Traditional approaches for surface reconstruction from range data require that the input data be either range images or unorganized sets of points. Since a large number of range s...
Dragan Tubic, Patrick Hébert, Denis Laurend...
ICCV
2001
IEEE
16 years 3 months ago
Color Eigenflows: Statistical Modeling of Joint Color Changes
We develop a linear model of commonly observed joint color changes in images due to variation in lighting and certain non-geometric camera parameters. This is done by observing ho...
Erik G. Miller, Kinh Tieu
IJCV
2006
236views more  IJCV 2006»
15 years 1 months ago
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
Josh Wills, Sameer Agarwal, Serge Belongie