By Topic

Integrating volume data analysis and rendering on distributed memory architectures

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

2 Author(s)
Camahort, E. ; Schlumberger Lab. for Comput. Sci., Austin, TX, USA ; Chakravarty, I.

The ability to generate visual representations of data, and the ability to enhance data into a suitable form for the purpose of visual representation, form two key components in a scientific visualization system. By a visual representation we mean the ability to render the data, using visual cues, such that the important features are readily perceived by the user. By the ability to enhance data we mean the ability to apply transformations to the data so that salient features embedded in the data become discernible and quantifiable. The rendering of data, computer graphics, and the enhancement of data, image processing, have emerged over the last twenty years into separate scientific disciplines. However, in scientific visualization and other applications of empirical data interpretation, we are increasingly confronted with the need to combine both data rendering and data transformation capabilities under one system framework. This paper describes the design issues and implementation of a program for visualizing and enhancing volume data on distributed memory architectures. Our design is motivated by the desire to interactively view, transform, and interpret volume data acquired using seismic imaging techniques. Experimental results derived from an implementation on the Connection Machine CM-5 are described

Published in:

Parallel Rendering Symposium, 1993

Date of Conference:

25-26 Oct 1993