Volume rendering of curvilinear-grid data using low-dimensional deformation textures

Robert Hero, Chris Ho, Kwan-Liu Ma

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

In this paper, we present a high quality and interactive method for volume rendering curvilinear-grid data sets. This method is based on a two-stage parallel transformation of the sample position into intermediate computational space then into texture space through the use of multiple 1 and 2D deformation textures using hardware acceleration. In this manner, it is possible to render many curvilinear-grid volume data sets at high quality and with a low memory footprint, while taking advantage of modern graphic hardware's tri-linear filtering for the data itself. We also extend our method to handle volume shading. Additionally, we present a comprehensive study and comparisons with previous works, we show improvements both in quality and performance using our technique on multiple curvilinear data sets.

Original languageEnglish (US)
Article number6684150
Pages (from-to)1330-1343
Number of pages14
JournalIEEE Transactions on Visualization and Computer Graphics
Volume20
Issue number9
DOIs
StatePublished - Jan 1 2014

Keywords

  • curvilinear datasets
  • Deformation texture
  • ray casting

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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