Data structures and techniques for visualization of large volumetric carbon dioxide datasets in a real time experience
Abstract
This thesis covers new research into real-time rendering of volumetric carbon dioxide data collected in the Vulcan project. The Vulcan project, a multi-disciplinary initiative to quantify carbon dioxide mass flux from residential, commercial and industrial sources headed by Gurney et al. (Gurney, K. R., Mendoza, D. L., Zhou, Y., Fischer, M. L., Miller, C. C., Geethakumar, S., and de La Rue du Can, S., 2009). The Vulcan datasets are a significant aid for policy makers, scientists and the general public alike as the collection was completed at a much finer space and time resolution than ever before. A previous visualization attempt, completed in 2009 (Andrysco, Gurney, Benes, & Corbin, 2009) was able to visualize the data in an offline environment, noting constraints of data size and disk speed access as the most significant drawbacks for real-time visualization. This thesis presents research towards a new real-time visualization suite in the areas of compression, data representation and simplification. The research hypothesizes that the use of these techniques will enable sufficient speed of rendering and loading to enable real-time data exploration. The results show that a combination of techniques used in compression and the use of optimized indexed geometric structures allows the dataset to be explored and rendered in real time.
Degree
M.S.
Advisors
Benes, Purdue University.
Subject Area
Computer science
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