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Texture-Based Unsteady Flow Visualization on Surfaces: A Comparison of Image Space Advection and Image Based Flow Visualization for Curved Surfaces

Added on -2019-09-18

This paper presents a comparison of two recent image space approaches for vector field visualization, Image Space Advection (ISA) and Image Based Flow Visualization for Curved Surfaces (IBFVS), for texture-based unsteady flow visualization on surfaces. The paper discusses their strengths, weaknesses, and applications, and provides a unified framework for comparing the two approaches. The ISA approach has been implemented in commercial software and tested on various data sets, while the original IBFVS implementation provides an option of translating textures in image space as per the mouse pointer and its motion. Both approaches are seen to project the surface mesh and associated vector data for image space and can be applied to a series of textures. However, the difference arises as ISA is seen to utilize the image-based mesh for advecting the texture where in the case of IBFVS the texture advection is driven by original 3D mesh. The paper concludes that the choice of application of ISA and IBFVS solely depends on the complexity of the model.
| 3 pages
| 816 words

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R. S. Laramee, CSCM37, Data VisualizationAssignment Three–Flow Visualization “Extracting the Essentials” Robert S Laramee December 9, 20163.1 Summary of ConceptThe paper presents a detailed study on thetexture-based, unsteady flow visualizationon surfaces using two recent image spaceapproaches for vector fieldvisualization.These are Image Space Advection (ISA) andImage Based Flow Visualization for CurvedSurfaces (IBFVS), which are used forgenerating dense representations of time-dependent vector fields with high spatio-temporal correlation. Author has achieved fast frame properties byexploiting frame-to-frame coherency andgraphics hardware. The goal of the paper isto present a side-by-side comparison of thetwo approaches for texture synthesis ofunsteady flow on boundary surfaces. Thepaper also presents their strengths andweaknesses along with recommendations ontheir vast applications. 3.2 ContributionsThe paper explicitly discusses the dense,texture-based, unsteady flow visualizationon surfaces that has remained an intangibleproblem since the introduction of texture-based flow visualization algorithmsthemselves. This has been done byprojecting the surface geometry with theirassociated vector field to image space andthen apply texturing. Additionally, the paperhas explicitly provided the characteristics ofthe approaches. A framework where the two selectedapproaches have been unified and comparedat the same time has been used contributingto the novelty of the paper.Figure 1: Algorithm of ISA and IBFVS3.3 Related Work SummaryThis paper has been constructed on the basisof How to Read a Visualization ResearchPaper: Extracting the Essentials by Robert SLaramee (R.S. Laramee, 2011). The paper isbased on instructing the PhD researchers onhow to read a visualization research paper.The paper provides a detailed study on howto extract most important and criticalinformation from the previously publishedscientific conference or any other journal

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