Kevin Beason
MS Computer Science
Global Illumination of Isosurfaces
The purpose of my research is to upgrade the quality of 3D scientific
visualization by applying global illumination to isosurfaces.
An isosurface of a three-dimensional (3D) function is a surface
in which all the points have an identical value, called the isovalue.
This isosurface may capture the shape of the brain (from MRI data),
or of a nerve cell (from laser microscopy) or of neutron clusters
(from a computational simulation of neutron stars). Often the shape
is very complex, in which case the subtle effects of realistic lighting
(like soft shadows, inter-reflection, and caustics) make the 3D
structure more evident to the scientific user.
Unfortunately, solving the light-transport equation for these complex
surfaces may take hours to complete. My work is the first to demonstrate
that pre-processing allows these high-quality renderings to be produced
using the video card of an ordinary home computer, and at the same
speed as the low-quality "local illumination" provided by existing
commercial tools for 3D visualization.
Courses taken outside of major
STA 5106 Computational Methods in Statistics I
STA 5107 Computational Methods in Statistics II
PHY 3424 Optics
ART 2010 Photography
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