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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… 
2013
2013
Robust road detection from a single image using road shape prior
Many road detection algorithms require pre-learned information, which may be unreliable as the road scene is usually unexpectable… 
2013
2013
From stixels to objects — A conditional random field based approach
Detection and tracking of moving traffic participants like vehicles, pedestrians or bicycles from a mobile platform using a… 
2011
2011
StereoCut: Consistent interactive object selection in stereo image pairs
Methods of interacting with stereo image pairs are important for handling the increasing amount of stereoscopic 3D data now being… 
2010
2010
An experimental comparison of modern methods of segmentation
This paper deals with experimental comparison of classical method of Graph cut segmentation with segmentation using Active… 
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… 
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… 
2006
2006
Global Depth from Epipolar Volumes--A General Framework for Reconstructing Non-Lambertian Surfaces
Using epipolar image analysis in the context of the correspondence finding problem in depth reconstruction has several advantages… 
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… 
1998
1998
3D face modeling from stereo and differential constraints
This paper proposes a way to incorporate a priori information in a 3D stereo reconstruction process from a pair of calibrated… 
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