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» Basics of Graph Cuts
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132
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ICCV
2005
IEEE
16 years 5 months ago
A New Framework for Approximate Labeling via Graph Cuts
A new framework is presented that uses tools from duality theory of linear programming to derive graph-cut based combinatorial algorithms for approximating NP-hard classification ...
Nikos Komodakis, Georgios Tziritas
111
Voted
IJISTA
2008
87views more  IJISTA 2008»
15 years 3 months ago
On fusion of range and intensity information using Graph-Cut for planar patch segmentation
: Planar patch detection aims at simplifying data from 3-D imaging sensors to a more compact scene description. We propose a fusion of intensity and depth information using Graph-C...
Olaf Kähler, Erik Rodner, Joachim Denzler
127
Voted
ICCV
2005
IEEE
16 years 5 months ago
A Graph Cut Algorithm for Generalized Image Deconvolution
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
Ashish Raj, Ramin Zabih
162
Voted
CVPR
2008
IEEE
16 years 5 months ago
Shape prior segmentation of multiple objects with graph cuts
We present a new shape prior segmentation method using graph cuts capable of segmenting multiple objects. The shape prior energy is based on a shape distance popular with level se...
Nhat Vu, B. S. Manjunath
166
Voted
CVPR
2009
IEEE
16 years 11 months ago
Efficient Planar Graph Cuts with Applications in Computer Vision
We present a fast graph cut algorithm for planar graphs. It is based on the graph theoretical work [2] and leads to an efficient method that we apply on shape matching and im- a...
Daniel Cremers, Eno Töppe, Frank R. Schmidt