By Topic

Managing the image generation of large datasets

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
M. Bolstad ; US Army Res. Lab., Aberdeen Proving Ground, MD, USA

At the ARL MSRC, datasets resulting from scientific visualizations and conceptual animations continue to grow in size and complexity as our computing capabilities expand. While visualizing these datasets and building the animations are a challenge, so is the overall oversight of the image generation process and long-term management of the resulting voluminous data sets. We have developed a tool to handle the management of the image generation process. By automatically monitoring the rendering process, we can improve overall throughput and image quality. This tool automatically distributes the rendering load, and detects and resolves problems in the image generation process including missing frames, excessive noise, and other common rendering problems.

Published in:

User Group Conference, 2003. Proceedings

Date of Conference:

9-13 June 2003