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ICCV
2007
IEEE
14 years 10 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
ICCV
2003
IEEE
14 years 10 months ago
Comparison of Graph Cuts with Belief Propagation for Stereo, using Identical MRF Parameters
Recent stereo algorithms have achieved impressive results by modelling the disparity image as a Markov Random Field (MRF). An important component of an MRF-based approach is the i...
Marshall F. Tappen, William T. Freeman
3DPVT
2006
IEEE
203views Visualization» more  3DPVT 2006»
14 years 2 months ago
Graph Cut Based Multiple View Segmentation for 3D Reconstruction
In this paper we propose a novel framework for efficiently extracting foreground objects in so called shortbaseline image sequences. We apply the obtained segmentation to improve...
Mario Sormann, Christopher Zach, Konrad F. Karner
ESA
2005
Springer
114views Algorithms» more  ESA 2005»
14 years 1 months ago
Unbalanced Graph Cuts
We introduce the Minimum-size bounded-capacity cut (MinSBCC) problem, in which we are given a graph with an identified source and seek to find a cut minimizing the number of node...
Ara Hayrapetyan, David Kempe, Martin Pál, Z...
TIP
2011
164views more  TIP 2011»
13 years 2 months ago
Multiregion Image Segmentation by Parametric Kernel Graph Cuts
Abstract—The purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a ...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed