Graphics Lunch Presentation

Volume Tracking Using Higher Dimensional Isosurfacing

Guangfeng Ji
OSU-CSE
http://www.cse.ohio-state.edu/~hwshen/Research/index.html

Friday, Oct. 17th
12:30 pm; 480 Dreese Labs
All interested parties are invited.
Pizza lunch will be served.

Abstract:
Tracking and visualizing local features from a time-varying volumetric
data allows the user to focus on selected regions of interest, both in
space and time, which can lead to a better understanding of the
underlying dynamics. In this paper, we present an efficient algorithm
to track time-varying isosurfaces and interval volumes using
isosurfacing in higher dimensions. Instead of extracting the data
features such as isosurfaces or interval volumes separately from
multiple time steps and computing the spatial correspondence between
those features, our algorithm extracts the correspondence directly
from the higher dimensional geometry and thus can more efficiently
follow the user selected local features in time. In addition, by
analyzing the resulting higher dimensional geometry, it becomes easier
to detect important topological events and the corresponding critical
time steps for the selected features. With our algorithm, the user
can interact with the underlying time-varying data more easily. The
computation cost for performing time-varying volume tracking is also
minimized.

These talks are funded by a grant from the Ohio Board of Regents.