Transporting pollen grain code from PC to VR cave
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Janai Campbell
College:
The Dorothy and George Hennings College of Science, Mathematics, and Technology
Major:
Computational Science & Engineering
Faculty Research Advisor(s):
David Joiner
Abstract:
The goal of this project was to deploy existing 3D visualizations of hyperstack images and point clouds in a CAVE environment, with a particular application to a 3D pollen database. Through the process of conducting this research , I have gained practical experience with programming software engineering, graphics, shader programming, and cross platform design. The first test code that was imported into the cave was the 10 million point cloud code running at 30 - 60 frames per second. It ran smoothly without any lagging or glitching considering the amount of points within the code. The 1 million point cloud code ran at the machine limit of 60 frames per second. The third and final code that was imported into the code was the pollen grain code.We examined the ragweed pollen specifically and was able to thoroughly look though it to see if there was any lagging or unclear spots in the pollen. This research was successful with the desired goal achieved.