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» A Graph Cut Approach to Image Segmentation in Tensor Space
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ICCV
2007
IEEE
16 years 5 months ago
LogCut - Efficient Graph Cut Optimization for Markov Random Fields
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
Victor S. Lempitsky, Carsten Rother, Andrew Blake
128
Voted
MICCAI
2004
Springer
16 years 4 months ago
Clustering Fiber Traces Using Normalized Cuts
In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to cre...
Anders Brun, Hans Knutsson, Hae-Jeong Park, Martha...
132
Voted
SCIA
2007
Springer
153views Image Analysis» more  SCIA 2007»
15 years 10 months ago
Graph Cut Based Segmentation of Soft Shadows for Seamless Removal and Augmentation
Abstract. This paper introduces a new concept within shadow segmentation for usage in shadow removal and augmentation through construction of a multiplicity alpha overlay shadow mo...
Michael Nielsen, Claus B. Madsen
141
Voted
ICCV
2009
IEEE
1136views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Robust Graph-Cut Scene Segmentation and Reconstruction for Free-Viewpoint Video of Complex Dynamic Scenes
Current state-of-the-art image-based scene reconstruction techniques are capable of generating high-fidelity 3D models when used under controlled capture conditions. However, th...
Jean-Yves Guillemaut, Joe Kilner and Adrian Hilton
162
Voted
BMVC
2010
14 years 10 months ago
Saliency Segmentation based on Learning and Graph Cut Refinement
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
Paria Mehrani, Olga Veksler