Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Abstract. Image segmentation techniques typically require proper weighting of competing data fidelity and regularization terms. Conventionally, the associated parameters are set t...
We present a fast graph cut algorithm for planar graphs.
It is based on the graph theoretical work [2] and leads to an
efficient method that we apply on shape matching and im-
a...
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...