Automatic Stream Surface Seeding: A Feature Centered Approach

Edmunds, Matt; Laramee, Robert S.; Malki, R.; Masters, Ian; Croft, Nick; Chen, G.; Zhang, E.

doi:10.1111/j.1467-8659.2012.03102.x

Cited by 26 publications

(65 citation statements)

References 32 publications

(50 reference statements)

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“…Our approach for orthogonal surfaces does not suffer from "spiky" artifacts at fixed vertices that may appear using the APAP approach (see Figure 5 in [32]). A similar example is shown for the more complex CYLINDER flow [9] (see, e. g., [8,13,31]) where an orthogonal surface was placed near the flow vortex. Iso-contour variation reveals the narrow outflow region of the vortex through the orthogonal surface.…”

Section: Resultsmentioning

confidence: 72%

“…Various methods have been proposed for automatic stream line seeding, which is in contrast to stream surface seeding that is generally performed by a manual search [25]. A dense set of stream surfaces can be selected automatically by clustering local flow features [13]. Seeds for simpler stream ribbons and particles can be interactively moved around for real-time exploration [20].…”

Section: Related Workmentioning

confidence: 99%

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Poisson-based tools for flow visualization

Esturo

Schulze

Roß

et al. 2013

2013 IEEE Pacific Visualization Symposium (PacificVis)

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This paper applies Poisson-based methods to assist in interactive exploration of steady flow fields. Using data-driven deformations we obtain flow-orthogonal and flow-tangential surfaces by a fluxbased optimization. Surfaces are positioned interactively and deformed in real-time according to local flow. The deformed surfaces are particularly useful for defining seed structures. We show how the same gradient-based computational framework can be applied to obtain parametrizations of flow-aligned surfaces. This way it is easy to define nontrivial seed structures for integration-based flow visualization methods. Additionally, the flow-aligned parametrizations are employed for view-independent surface-based LIC visualizations. We apply our method to a number of data sets to show the effectiveness of our deformations and parametrization-based seed extraction methods for interactive flow exploration.

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Section: Resultsmentioning

confidence: 72%

Section: Related Workmentioning

confidence: 99%

Poisson-based tools for flow visualization

Esturo

Schulze

Roß

et al. 2013

2013 IEEE Pacific Visualization Symposium (PacificVis)

View full text Add to dashboard Cite

show abstract

“…The use of transparency is a generalised solution to this problem. With stream surfaces additional options are available, for example, illustrative techniques can by utilised to improve the visual cues, and thus the visual perception of the underlying data [27]. Figure 1 highlights these characteristics, and demonstrates the use of a visualisation framework [41] for prototyping visualisation algorithms.…”

Section: Visualisation Techniquementioning

confidence: 99%

“…Stream surfaces [1,27] have important inherent characteristics that can enhance the visual perception of complex flow structures. Lighting and shading reinforce the perception of shape and depth, images or textures can be mapped to the surface primitives providing additional visual information, colour and transparency can be used to convey additional data attributes.…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development

et al. 2015

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Flow characteristics in coastal regions are strongly influenced by the topography of the seabed and understanding the fluid dynamics is necessary before installation of tidal stream turbines (TST). In this paper, the bathymetry of a potential TST deployment site is used in the development of the a CFD (Computational Fluid Dynamics) model. The steady state k-and transient Large Eddy Simulation (LES) turbulence methods are employed and compared. The simulations are conducted with a fixed representation of the ocean surface, i.e., a rigid lid representation. In the vicinity of Horse Rock a study of the pressure difference shows that the small change in height of the water column is negligible, providing confidence in the simulation results. The stream surface method employed to visualise the results has important inherent characteristics that can enhance the visual perception of complex flow structures. The results of all cases are compared with the flow data transect gathered by an Acoustic Doppler Current Profiler (ADCP). It has been understood that the k-method can predict the flow pattern relatively well near the main features of the domain and the LES model has the ability to simulate some important flow patterns caused by the bathymetry.

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“…What we present here are the design and implementation considerations for our software. The information necessary to implement these features is missing from our previous papers [3,4] because of the strict focus on visualization and space limitations. Furthermore, to see performance details, for example how our software performs compared to previous systems, we refer the reader to Edmunds et al [3,4].…”

Section: Introductionmentioning

confidence: 99%

Design of a Flow Visualisation Framework

2015

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Research software often consists of individual, isolated prototype applications. Small proof of concept applications are usually enough for demonstrating new algorithms. However, the unification of new research algorithms into a cohesive software framework has advantages. Adding new features to an existing pipeline reduces implementation overhead. The researcher is more able to compare and contrast existing or previous work with new research. Utilizing previously implemented techniques, researchers are able to combine visualization options in new ways that typical research prototypes cannot. The software application can be made available to the domain expert for evaluation and future use. These goals are in part realized by utilizing recent advancements in game design technology and by leveraging features available with recent graphics hardware. Described is the design of a feature-rich flow visualization software framework in more detail than a typical research paper. In contrast to most research prototypes, the system we present handles real-world simulation datasets by interfacing directly with the commercial package called tecplot. We present a description of our system in detail, whereas previously published work focuses on the research contribution. The effectiveness and scalability of the approach is also discussed.

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Automatic Stream Surface Seeding: A Feature Centered Approach

Cited by 26 publications

References 32 publications

Poisson-based tools for flow visualization

Poisson-based tools for flow visualization

Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development

Design of a Flow Visualisation Framework

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