| Feature Tracking in VR for Cumulus Cloud Life-Cycle Studies |  |
| E. J. Griffith, F. H. Post, M. Koutek, T. Heus and H. J. J. Jonker |
| Eurographics Workshop on Virtual Environments |
| Aalborg, Denmark |
| October, 2005 |
Abstract
Feature tracking in large data sets is traditionally an off-line, batch
processing operation while virtual reality typically focuses on highly
interactive tasks and applications. This paper presents an approach that
uses a combination of off-line preprocessing and interactive
visualization in VR to simplify and speed up the identification of
interesting features for further study. We couch the discussion in terms of our
collaborative research on using virtual reality for cumulus cloud life-cycle studies,
where selecting suitable clouds for study is simple for the skilled observer
but difficult to formalize. The preprocessing
involves identifying individual clouds within the data set
through a 4D connected components algorithm, and then
saving isosurface, bounding box, and volume information. This information
is then interactively visualized in our VR Cloud Explorer with
various tools and information displays to identify the most interesting clouds.
In a small pilot study, reasonable performance, both
in the preprocessing phase and the visualization phase, has been measured.
BibTeX
| @INPROCEEDINGS{griffith2005b, |
|
author |
= |
{Eric J. Griffith and Frits H. Post and Michal Koutek and Thijs Heus and Harm J. J. Jonker}, |
| title |
= |
{Feature Tracking in {VR} for Cumulus Cloud Life-Cycle Studies}, |
| editor |
= |
{Erik Kjems and Roland Blach}, |
| booktitle |
= |
{Virtual Environments 2005}, |
| year |
= |
{2005}, |
| pages |
= |
{121--128}, |
| month |
= |
{October}, |
| } |
Media
Video
 |
This video depicts a typical session
with this version of CloudExplorer. The user browses through time
ensuring there are no anomalies in the data set. He then hides
the uninteresting clouds and selects an interesting cloud to
inspect. Upon zooming in he finds it consists
of two pieces. He zooms out and selects another
interesting cloud. He zooms in and views the cloud in isolation
from various vantage points over the cloud's life-cycle. |
| High Res AVI |
Low Res AVI |
Presentation
