A fast parametric maximum flow algorithm and applications
SIAM Journal on Computing
Dynamic expression trees and their applications
SODA '91 Proceedings of the second annual ACM-SIAM symposium on Discrete algorithms
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Markov random field modeling in computer vision
Markov random field modeling in computer vision
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Occlusions, Discontinuities, and Epipolar Lines in Stereo
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Multi-camera Scene Reconstruction via Graph Cuts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Discrete Applied Mathematics
Segmentation by Grouping Junctions
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Markov Random Fields with Efficient Approximations
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Maximum-Flow Formulation of the N-Camera Stereo Correspondence Problem
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Energy Minimization via Graph Cuts: Settling What is Possible
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
ACM SIGGRAPH 2005 Papers
What Metrics Can Be Approximated by Geo-Cuts, Or Global Optimization of Length/Area and Flux
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Effciently Solving Dynamic Markov Random Fields Using Graph Cuts
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A Graph Cut Algorithm for Generalized Image Deconvolution
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Convergent Tree-Reweighted Message Passing for Energy Minimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatially coherent clustering using graph cuts
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Motion layer extraction in the presence of occlusion using graph cut
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
POSECUT: simultaneous segmentation and 3D pose estimation of humans using dynamic graph-cuts
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
MAP estimation via agreement on trees: message-passing and linear programming
IEEE Transactions on Information Theory
Exact optimization for Markov random fields with convex priors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved seam carving for video retargeting
ACM SIGGRAPH 2008 papers
Measuring uncertainty in graph cut solutions
Computer Vision and Image Understanding
Tracking the Swimming Motions of C. elegans Worms with Applications in Aging Studies
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
GeoS: Geodesic Image Segmentation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Interactive Image Segmentation Based on Hierarchical Graph-Cut Optimization with Generic Shape Prior
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
A Gradient Descent Approximation for Graph Cuts
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Iterated conditional modes for inverse dithering
Signal Processing
Saliency-based video segmentation with graph cuts and sequentially updated priors
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Spatially Varying Mixtures Incorporating Line Processes for Image Segmentation
Journal of Mathematical Imaging and Vision
Robust bilayer video segmentation by adaptive propagation of global shape and local appearance
Journal of Visual Communication and Image Representation
Geodesic image and video editing
ACM Transactions on Graphics (TOG)
Fast multi-labelling for stereo matching
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Multimedia Tools and Applications
Joint Multi-Layer Segmentation and Reconstruction for Free-Viewpoint Video Applications
International Journal of Computer Vision
Color image segmentation based on an iterative graph cut algorithm using time-of-flight cameras
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Adaptive Exact Inference in Graphical Models
The Journal of Machine Learning Research
Solving multilabel MRFs using incremental α-expansion on the GPUs
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Optimization for multi-region segmentation of cardiac MRI
STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Smooth Chan-Vese segmentation via graph cuts
Pattern Recognition Letters
Error-tolerant interactive image segmentation using dynamic and iterated graph-cuts
Proceedings of the 2nd ACM international workshop on Interactive multimedia on mobile and portable devices
Computer Vision and Image Understanding
Improved image segmentation using motion
Proceedings of the 10th European Conference on Visual Media Production
Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape Prior
Journal of Mathematical Imaging and Vision
| Hi-index | 0.14 |
Abstract—In this paper we present a fast new fully dynamic algorithm for the st-mincut/max-flow problem. We show how this algorithm can be used to efficiently compute MAP solutions for certain dynamically changing MRF models in computer vision such as image segmentation. Specifically, given the solution of the max-flow problem on a graph, the dynamic algorithm efficiently computes the maximum flow in a modified version of the graph. The time taken by it is roughly proportional to the total amount of change in the edge weights of the graph. Our experiments show that, when the number of changes in the graph is small, the dynamic algorithm is significantly faster than the best known static graph cut algorithm. We test the performance of our algorithm on one particular problem: the object-background segmentation problem for video. It should be noted that the application of our algorithm is not limited to the above problem, the algorithm is generic and can be used to yield similar improvements in many other cases that involve dynamic change.