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» What Energy Functions Can Be Minimized via Graph Cuts
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ICPR
2008
IEEE
14 years 6 months ago
Continuous graph cuts for prior-based object segmentation
In this paper we propose a novel prior-based variational object segmentation method in a global minimization framework which unifies image segmentation and image denoising. The id...
Anders Heyden, Christian Gosch, Christoph Schn&oum...
EMMCVPR
2003
Springer
13 years 10 months ago
Generalized Multi-camera Scene Reconstruction Using Graph Cuts
Reconstructing a 3-D scene from more than one camera is a classical problem in computer vision. One of the major sources of difficulty is the fact that not all scene elements are v...
Vladimir Kolmogorov, Ramin Zabih, Steven J. Gortle...
CVPR
2003
IEEE
14 years 7 months ago
Joint 3D-Reconstruction and Background Separation in Multiple Views using Graph Cuts
This paper deals with simultaneous depth map estimation and background separation in a multi-view setting with several fixed calibrated cameras, two problems which have previously...
Bastian Goldlücke, Marcus A. Magnor
CVPR
2009
IEEE
15 years 12 days 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...
ICMCS
2009
IEEE
180views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Foreground segmentation for static video via multi-core and multi-modal graph cut
We proposed a new foreground detection method using the static cameras. It merges multi-modality into graph cut energy function, and performs much better results than conventional...
Lun-Yu Chang, Winston H. Hsu