We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
Reconstruction of 3D structures from uncalibrated image sequences has a wealthy history. Most work has been focused on rigid objects or static scenes. This paper studies the probl...
Abstract. This paper presents the creation of 3D statistical shape models of the knee bones and their use to embed information into a segmentation system for MRIs of the knee. We p...
Jurgen Fripp, Pierrick Bourgeat, Andrea J. U. Mewe...
In non-rigid image registration problems, it can be difficult to construct a single cost function that adequately captures concepts of similarity for multiple structures, for examp...
William Mullally, Margrit Betke, Carissa Bellardin...
We present a novel approach to the matching of subgraphs for object recognition in computer vision. Feature similarities between object model and scene graph are complemented with ...