Line drawings from volume data

Michael Burns, Janek Klawe, Szymon Rusinkiewicz, Adam Finkelstein, Doug DeCarlo

Research output: Contribution to journalConference article

74 Scopus citations

Abstract

Renderings of volumetric data have become an important data analysis tool for applications ranging from medicine to scientific simulation. We propose a volumetric drawing system that directly extracts sparse linear features, such as silhouettes and suggestive contours, using a temporally coherent seed-and-traverse framework. In contrast to previous methods based on isosurfaces or nonrefractive transparency, producing these drawings requires examining an asymptotically smaller subset of the data, leading to efficiency on large data sets. In addition, the resulting imagery is often more comprehensible than standard rendering styles, since it focuses attention on important features in the data. We test our algorithms on datasets up to 5123, demonstrating interactive extraction and rendering of line drawings in a variety of drawing styles.

Original languageEnglish (US)
Pages (from-to)512-518
Number of pages7
JournalACM Transactions on Graphics
Volume24
Issue number3
DOIs
StatePublished - Jul 1 2005
EventACM SIGGRAPH 2005 - Los Angeles, CA, United States
Duration: Jul 31 2005Aug 4 2005

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design

Keywords

  • Isosurface
  • NPR
  • Silhouettes
  • Suggestive contours
  • Visualization
  • Volume

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