Visual Computing Seminar Schedule
Fall Semester, 2009
We meet each Friday at 2:30 pm, in McAdams 123, unless otherwise
indicated.
Sept.
4 — Donald House, Tutorial: Fluid Simulation Basics
Donald House will give an introduction to the problem of the simulation
of volumetric fluids for use in visual effects, and animation. He will
cover the mathematical roots in the incompressible Navier Stokes
equations, and the two most popular solution methods
Sept. 11
— Brandon Pelfrey, Speeding SPH by
Tracking Neighbors
Sept.
18 — Sebastian Goasguen, Visual Computing in the
Supercomputing and Cyberinfrastructure communities
Abstract: Visual computing is highly relevant to the
supercomputing and
cyberinfrastructure communities. In this talk we will attempt to
present the main research and development areas that link
supercomuting/cyberinfrastructure to visual computing. From video
conferencing system, data streaming over high bandwidth networks, large
tile displays to scientific visualization, computational steering and
high performance computing on high end graphics cards. We will
illustrate these areas via a walk through of past present and future
visual computing projects in HPC/CI.
Sept. 25 — open
Oct. 2 — open
Oct. 9 — Tobias Isenberg/Petra Isenberg
Oct. 16 — open
Oct. 23 — Brian Dean, Spectral Techniques
for Visualizing
Dynamic Data Sets
Oct. 30 — Marilyn Friedman, Dreamworks Animation SKG, So
You Want to be in Animation?
Nov. 6 — Brian Malloy, Visualizing Heap Based Data
Nov. 13 — Robert Geist, Lattice Boltzman Model Wave Simulation
Nov. 20 — Damon Woodard, Current Research in Biometrics
Dec 4 – Austen Hayes, Effects of Virtual Human Presence on
Avatar Use in Virtual Worlds
Abstract: When people use avatars in online virtual worlds, do
they
respond to being in the presence of another virtual human the same way
they would the presence of another person? To investigate this
question we designed a study to determine the social effects virtual
human observers had on people using avatars. These social effects,
called social inhibition/facilitation, have been observed and studied
in human-to-human interaction. Social inhibition/facilitation
theory states that a person in the presence of another person will
generally perform a simple task better and a complex task
worse. For our study, we evaluated both simple and complex math
tasks. The participants were measured on performance and response
times of completing the tasks using their avatars, both in the presence
of a virtual human and alone.