In this paper, we propose a multi-modal image registration method based on the a priori knowledge of the expected joint intensity distribution estimated from aligned training image...
Albert C. S. Chung, William M. Wells III, Alexande...
This paper describes a novel registration approach that is based on a combination of visual and 3D range information. To identify correspondences, local visual features obtained f...
Abstract— Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. In this paper, two new, determin...
Abstract. Establishing correspondence between features of a set of images has been a long-standing issue amongst the computer vision community. We propose a method that solves the ...
Registration of pre-operative 3D volume dataset and intra-operative 2D images gradually becomes an important technique to assist radiologists in diagnosing complicated diseases. In...