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Visualisation of complex flows using texture-based techniques

Warne, David, Young, Joseph A., & Kelson, Neil A. (2012) Visualisation of complex flows using texture-based techniques. In Computational Techniques and Applications Conference, 23 - 26 September, The Queensland University of Technology, Brisbane, Australia. (Unpublished)

Abstract

Complex flow datasets are often difficult to represent in detail using traditional vector visualisation techniques such as arrow plots and streamlines. This is particularly true when the flow regime changes in time. Texture-based techniques, which are based on the advection of dense textures, are novel techniques for visualising such flows (i.e., complex dynamics and time-dependent). In this paper, we review two popular texture-based techniques and their application to flow datasets sourced from real research projects. The texture-based techniques investigated were Line Integral Convolution (LIC), and Image-Based Flow Visualisation (IBFV). We evaluated these techniques and in this paper report on their visualisation effectiveness (when compared with traditional techniques), their ease of implementation, and their computational overhead.

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ID Code: 54439
Item Type: Conference Item (Presentation)
Keywords: Visualisation, Vector Field, Texture-based methods, Image Based Flow Visualisation, Line integral convolution
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Numerical and Computational Mathematics not elsewhere classified (010399)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > OTHER INFORMATION AND COMPUTING SCIENCES (089900) > Information and Computing Sciences not elsewhere classified (089999)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Research Centres > High Performance Computing and Research Support
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 31 Oct 2012 12:34
Last Modified: 05 Feb 2013 13:20

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