Visual Exploration and Analysis of Volumetric DataSpeaker: Stefan Bruckner – Bergen, Norway
Topic(s): Graphics and Computer-Aided Design
AbstractInformation technology has led to a rapid increase in the amount of data generated in areas as diverse as biology, medicine, astronomy, climate science, or engineering. In many cases the data - like the underlying phenomena - are volumetric in nature, i.e., they describe the distribution of one or several quantities over a region in space. Visualization, the algorithmic transformation of data into easily understandable images, is essential in enabling users to gain insight into complex phenomena by taking advantage of the extraordinary capability of the human brain to process visual information. In this talk, I will outline some of the major challenges in the visualization of and interaction with volumetric data, as well as strategies and techniques for overcoming them. In particular, I will focus on methods for the effective and efficient depiction, interactive feature selection, and goal-directed exploration of volumetric data sets. Furthermore, I will provide a perspective on how future research in this field may profoundly impact scientific knowledge discovery.
About this LectureNumber of Slides: 84
Duration: 45 - 60 minutes
Languages Available: English
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