VIZLAB Projects
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This is a visualization to explore the connections between majors and job postings. It provides an interactive view of the entire job posting database within a focus+context framework. |
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ILLUSTRATIVE OCEAN EDDY VISUALIZATION In this work, we apply a feature-based method to track instances of ocean eddies through the time steps of a high-resolution multidecadal regional ocean model and generate a series of eddy paths which reflect the life cycle of individual eddy instances. Illustrative visualization techniques, including visual effectiveness enhancement, focus emphasis (or focus+context), and smart visibility, are combined with the extracted volume features to explore eddy characteristics at different levels. |
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Automated feature computation techniques can significantly reduce the amount of data that needs to be visualized by focusing on just those regions of interest. |
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DARK MATTER HALO TRACKING & MERGER TREE We track huge cosmological structures called dark matter halos, smaller satellite halos and individual dark matter tracer particles as the halos and satellite halos emerge, die, merge and continue to exist over time. We also visualize their merger trees in 3D along with statistical halo information to provide a detailed overview of structural evolution.
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ACOUSTIC IMAGING & COMPUTER VISUALIZATION Our primary goal is to best illustrate the expansion of the plumes and what enhancements would make viewing this data most useful, especially to scientists who want to analyze the plume. |
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We introduce the concept of hierarchical curve-skeleton and describe a general and robust methodology which computes a family of increasingly detailed curve-skeletons. The algorithm is based upon computing a repulsive force field over a discretization of the 3D object (voxelized representation) and using topological characteristics of the resulting vector field, such as critical points and critical curves, to extract the curve-skeleton. |
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We explore a more active approach to visualization, where a scientist can manipulate a dataset as if deforming a real model. |
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The goal of this project is to provide 3D visualization of particle simulations of plasma turbulence. |
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Our goal is to determine how humans understand visualizations and why are visualizations difficult for some. We use well-known individual differences in cognitive skills such as spatial abilities to understand the problems that affect people’s understanding of a visualization. |
