Visualisation of complex flows using texture-based techniques
Detailed representations of complex flow datasets are often difficult to generate 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. We review two popular texture based techniques and their application to flow datasets sourced from active research projects. The techniques investigated were Line integral convolution (LIC) , and Image based flow visualisation (IBFV) . We evaluated these and report on their effectiveness from a visualisation perspective. We also report on their ease of implementation and computational overheads.
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|Item Type:||Journal Article|
|Keywords:||Vector Field Visualisation, Scientific Data Visualisation, Line Integral Convolution, Image Based Flow Visualisation|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Graphics (080103)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
|Divisions:||Current > QUT Faculties and Divisions > Division of Technology, Information and Learning Support|
Current > Schools > School of Electrical Engineering & Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Research Centres > High Performance Computing and Research Support
Current > Schools > School of Mathematical Sciences
|Copyright Owner:||Copyright 2012 [please consult the authors]|
|Deposited On:||20 Nov 2012 11:32|
|Last Modified:||16 May 2013 11:35|
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