By Topic

Effective volume sampling of solid models using distance measures

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
$31 $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)
Sealy, G. ; Animation Res. Ltd., Dunedin, New Zealand ; Novins, K.

We present several methods for converting solid models to volume models whose boundaries are defined by an iso-surface. By storing samples of a signed distance function at each point in the volume, we show that we can reconstruct the original object with greater accuracy than methods based on an inclusion function. Our methods are fast, and require no more memory than conventional point sampling. These approaches apply to all solid objects for which ray intersection and point classification methods are defined. If a space subdivision test is available, we can quickly sample complex objects. We also present enhancements that allow for sampling of the object's original colour and texture

Published in:

Computer Graphics International, 1999. Proceedings

Date of Conference: