This paper addresses the problem of exactly inferring the maximum a posteriori solutions of discrete multi-label MRFs or CRFs with higher order cliques. We present a framework to ...
In this paper we present a graph cuts based active contours (GCBAC) approach to object segmentation problems. Our method is a combination of active contours and the optimization t...
We present a new image segmentation algorithm based on graph cuts. Our main tool is separation of each pixel from a special point outside the image by a cut of a minimum cost. Suc...
Many solutions to computer vision and image processing problems involve the minimization of multi-label energy functions with up to K variables in each term. In the minimization pr...
Easy and neat set of lecture notes in Medical Image Analysis taught at West Virginia University by Prof. Tim McGraw. It covers several famous computer vision techniques such as act...
"This paper presents an efficient algorithm for solving one sort of region-based active contour models, i.e. the active contours without edges model. We develop the link betwe...
A detailed presentation by Yuri Boykov, Daniel Cremers, Vladimir Kolmogorov, at the European Conference on Computer Vision (ECCV) 2006, that shows the difference between local and ...
A nice presentation by Yuri Boykov, Daniel Cremers, Vladimir Kolmogorov, at the European Conference on Computer Vision (ECCV) 2006, that finds the relation between Graph Cuts and L...