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CVPR
2009
IEEE
15 years 3 months ago
Minimizing Sparse Higher Order Energy Functions of Discrete Variables
Higher order energy functions have the ability to encode high level structural dependencies between pixels, which have been shown to be extremely powerful for image labeling pro...
Carsten Rother (Microsoft Research Cambridge), Pus...
ICCV
2009
IEEE
15 years 1 months ago
Image Segmentation with A Bounding Box Prior
User-provided object bounding box is a simple and popular interaction paradigm considered by many existing interactive image segmentation frameworks. However, these frameworks t...
Victor Lempitsky, Pushmeet Kohli, Carsten Rother, ...
ICCV
2009
IEEE
15 years 1 months ago
Optimizing Parametric Total Variation Models
One of the key factors for the success of recent energy minimization methods is that they seek to compute global solutions. Even for non-convex energy functionals, optimization ...
Petter Strandmark, Fredrik Kahl, Niels Chr. Overga...
ICCV
2009
IEEE
14 years 11 months ago
The Swap and Expansion Moves Revisited and Fused
Many solutions to computer vision and image processing problems involve the minimization of multi-label energy functions with up to K variables in each term. In the minimization pr...
Ido Leichter
CVPR
2003
IEEE
14 years 10 months ago
Stereo Matching with Reflections and Translucency
In this paper, we address the stereo matching problem in the presence of reflections and translucency, where image formation can be modeled as the additive superposition of layers...
Yanghai Tsin, Sing Bing Kang, Richard Szeliski