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Graph cuts in computer vision

Known as: Graph cut, Graph cut segmentation 
As applied in the field of computer vision, graph cuts can be employed to efficiently solve a wide variety of low-level computer vision problems… 
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Related topics

Related topics

23 relations
Active contour modelBinary imageConditional random fieldCorrespondence problem

Broader (1)

Computer vision

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
On the Exact Solution of the Minimal Controllability Problem
This paper studies the minimal controllability problem (MCP), i.e., the problem of, given a linear time-invariant system, finding… 
2011
2011
Automatical vessel wall detection in intravascular coronary OCT
The aim of this study is to automatically detect the boundary of vessel walls in optical coherence tomography (OCT) sequences. We… 
2009
2009
Graph Cut Based Point-Cloud Segmentation for Polygonal Reconstruction
The reconstruction of 3D objects from a point-cloud is based on sufficient separation of the points representing objects of… 
2008
2008
A new graph cut-based multiple active contour algorithm without initial contours and seed points
This paper presents a new graph cut-based multiple active contour algorithm to detect optimal boundaries and regions in images… 
2008
2008
Silhouette extraction based on iterative spatio-temporal local color transformation and graph-cut segmentation
We propose an iterative scheme of spatio-temporal local color transformation of background and graph-cut segmentation for… 
2007
2007
Texture Synthesis Method for Generic Video Sequences
An effective texture synthesis method is presented that is inspired by the work of Kwatra et al. [1]. Their algorithm is non… 
2007
2007
Diffusion Maps and Geometric Harmonics for Automatic Target Recognition (ATR). Volume 2. Appendices
Abstract : Geometric harmonics provides a framework for taking data in high-dimensional measurement spaces and embedding them in… 
2007
2007
WarpCut - Fast Obstacle Segmentation in Monocular Video
Autonomous collision avoidance in vehicles requires an accurate separation of obstacles from the background, particularly near… 
Highly Cited
2006
Highly Cited
2006
Stereo based obstacle detection for an unmanned air vehicle
This paper presents the visual threat awareness (VISTA) system for real time collision obstacle detection for an unmanned air… 
2004
2004
Fast Stereo Matching by Iterated Dynamic Programming and Quadtree Subregioning
The application of energy minimisation methods for stereo matching has been demonstrated to produce high quality disparity maps… 
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