We present a modification of the Mumford-Shah functional and its cartoon limit which facilitates the incorporation of a statistical prior on the shape of the segmenting contour. By...
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
A natural representation of data is given by the parameters which generated the data. If the space of parameters is continuous, then we can regard it as a manifold. In practice, w...
In this work, we propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Images. Our registration method models the distances in between the tensors...
M. Okan Irfanoglu, Raghu Machiraju, Steffen Samm...