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» Graph Cuts and Efficient N-D Image Segmentation
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ACCV
2010
Springer
13 years 3 months ago
Learning Image Structures for Optimizing Disparity Estimation
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
M. V. Rohith, Chandra Kambhamettu
ICCV
2009
IEEE
15 years 1 months ago
Higher-Order Gradient Descent by Fusion-Move Graph Cut
Markov Random Field is now ubiquitous in many formulations of various vision problems. Recently, optimization of higher-order potentials became practical using higherorder graph...
Hiroshi Ishikawa
ICPR
2008
IEEE
14 years 10 months ago
On segmentation evaluation metrics and region counts
Five image segmentation algorithms are evaluated: mean shift, normalised cuts, efficient graph-based segmentation, hierarchical watershed, and waterfall. The evaluation is done us...
Allan Hanbury, Julian Stöttinger
CVPR
2010
IEEE
14 years 5 months ago
Discrete minimum ratio curves and surfaces
Graph cuts have proven useful for image segmentation and for volumetric reconstruction in multiple view stereo. However, solutions are biased: the cost function tends to favour ei...
Fred Nicolls, Phil Torr
MIAR
2010
IEEE
13 years 7 months ago
DTI Connectivity by Segmentation
Abstract. This paper proposes a new method to compute connectivity information from diffusion weighted images. It is inspired by graphbased approaches to connectivity definition,...
Marc Niethammer, Alexis Boucharin, Christopher Zac...