: Tracking moving objects is one of the most common requirements for many location-based applications. The location of a moving object changes continuously but the database locatio...
In this paper we exploit normalized mutual information
for the nonrigid registration of multimodal images.
Rather than assuming that image statistics are spatially
stationary, a...
This paper proposes a novel method to apply the standard graph cut technique to segmenting multimodal tensor valued images. The Riemannian nature of the tensor space is explicitly...
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
In this paper we address the problem of multimodal registration of coronary vessels by developing a 3D parametrical model of vessel trees from computer tomography data and registe...
Georg Langs, Petia Radeva, David Rotger, Francesc ...