Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
d abstract) Lars Arge1 , Darren Erik Vengroff2 , and Jeffrey Scott Vitter3 1 BRICS† , Department of Computer Science, University of Aarhus, Aarhus, Denmark 2 Department of Comp...
Lars Arge, Darren Erik Vengroff, Jeffrey Scott Vit...
We consider the problem of computing minimum geometric hitting sets in which, given a set of geometric objects and a set of points, the goal is to compute the smallest subset of p...
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...