Seminar
Schedule for Fall 2004 |
||||
Date |
Speaker |
Title |
Institution |
Location |
9/24/04 |
Morgan McGuire |
Computer
graphics and game design |
Brown University |
DION 101 |
10/8/04 |
Li Shen | Spherical
Parameterization for 3D Closed Surfaces and Its applications |
UMassD |
DION 101 |
10/22/04 |
Boleslaw Mikolajczak | Verification
and Validation of Concurrent Object-Oriented Systems using Colored
Petri Nets |
UMassD |
DION 101 |
11/5/04 |
Vinod Vokkarane |
Multi-Layer
Survivability in IP-over-Optical Networks; Quality of Service in
Optical Burst-Switched Networks" |
UMassD |
DION 101 |
11/12/04 |
Shelley
Zhang |
The formation of virtual organization | UMassD |
DION
101 |
11/19/04 |
Ramprasad
Bala |
Mesoscale
Feature Tracking and their role in Climate Studies |
UMassD |
DION
101 |
12/3/04 |
Graduate
Students |
Research
Assistant presentation on research projects |
UMassD |
DION 101 |
Seminar
Schedule for Spring 2004 |
||||
Date |
Speaker |
Title |
Institution |
Location |
3/5/04 |
Jurgen Schulze |
Volume rendering in
the CAVE |
Brown University |
DION 101 |
3/26/04 |
Sol Neeman | Arts, Computers and
Artificial intelligence |
Johnson and Wales
University |
DION 101 |
4/9/04 |
Haiping Xu | A Security Based
Model for Mobile Agent Software Systems |
UMassD |
DION 101 |
4/23/04 |
Emad
Aboelela |
TCP: From
Static to Mobile Networks |
UMassD |
DION 101 |
5/7/04 |
Jan Bergandy |
Design Patterns and Software Development Process |
UMassD |
DION 101 |
In the talk I will present my research about interactive visualization of volumetric datasets in virtual environments. The three major topics will be:volume rendering algorithms, rendering with parallel computers, and a user interface for the CAVE. Direct volume rendering is the display of three dimensional scalar fields without prior data conversion to polygonal models. For example, a computer tomography (CT) scan from a hospital consists of a number of images, which the computer can stack on top of each other to reconstruct the original 3D object. This display method requires a great deal of computing power because for each reconstructed 3D image every pixel of each 2D image needs to be taken into account. Parallel computers can be used to increase the rendering speed of large volumetric datasets. I will present a new method that runs the CPU-based shear-warp algorithm on a parallel computer to show the results in a CAVE. The CAVE is a small room whose walls are projection screens. Typically, four screens are projected on: the front, left, and right walls, and the floor. Stereo rendering allows for virtual reality applications. The users interact with a 3D mouse which transmits its location and orientation to the computer.