QUT ePrints

Developments in texture-based vector field visualisation techniques

Warne, David, Young, Joseph A., & Kelson, Neil A. (2010) Developments in texture-based vector field visualisation techniques. In OzViz 2010, 2 December 2010, Queensland Bioscience Precinct, University of Queensland, Brisbane, Qld. (Unpublished)

View at publisher

Abstract

Vector field visualisation is one of the classic sub-fields of scientific data visualisation. The need for effective visualisation of flow data arises in many scientific domains ranging from medical sciences to aerodynamics. Though there has been much research on the topic, the question of how to communicate flow information effectively in real, practical situations is still largely an unsolved problem. This is particularly true for complex 3D flows. In this presentation we give a brief introduction and background to vector field visualisation and comment on the effectiveness of the most common solutions. We will then give some examples of current development on texture-based techniques, and given practical examples of their use in CFD research and hydrodynamic applications.

Impact and interest:

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

5 since deposited on 21 Feb 2011
0 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 40224
Item Type: Conference Item (Presentation)
Keywords: Flow Visualistion, Vectors, Bribie, Image Based Flow Visualisation, LIne INtegral Convolution
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Current > Research Centres > High Performance Computing and Research Support
Copyright Owner: Copyright 2010 The Authors
Deposited On: 22 Feb 2011 09:09
Last Modified: 05 Feb 2013 13:21

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page