Speaker: Klaus Müller (State University of New York at Stony Brook)
Fully 3D datasets have become ubiquitous in a wide range of disciplines, such as science, engineering, medicine, and even entertainment. There is a vast demand to efficiently create these data, as well as fuse, relate, and visualize them. In this talk I will report on our efforts in all of these domains. First I will discuss techniques that utilize GPUs for rapid tomographic volume reconstruction and even direct volume visualization from X-ray projection data. Then I will describe our Magic Volume Lens framework which fuses and augments different types of volumetric data at different scales into one composite representation, providing a variety of zoom lenses for focus+context GPU-accelerated viewing with semantic context.