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Related Work2.2. Flow Visualization AlgorithmsFigure 2.21: Evenly spaced streamlines: Streamlines are created using a special seed point strategy[BJ97]. The right image shows the same number of streamlines as in the left image. The evenly spacedstreamlines algorithm was used to create the right image.* evenly spaced streamlines One other important concept for streamlinesare evenly spaced streamlines [BJ97] (see figure 2.21). This algorithm createsa set of streamlines by a simple and effective combination of seed pointplacement and streamline integration. The seed points for streamline integrationare set in dependence to the distance to existing streamlines. Evenlyspaced streamlines were also extended to 3D [MTHG03].• forward and/or backward integrationIntegration of streamlines can either be done in a pre–processing step or on–the–fly using Euler integration or higher–order Runge-Kutter integration. Streamlineintegration can be very difficult and time–consuming on curvilinear and non–regular grids. Most of the time optimized data structures like quadtree and octreefor instance are used to speed up the integration step. The integration step iscritical for the numerical stability of the visualization system.The first visual plausible and numerical stable simulation of fluids relayed ona simplified navier–stokes equation was published by Stam[Sta99]. It was alsoextended to surfaces of arbitrary topology[Sta03]. Stam’s "stable fluids" wereextended to animate fire by Nguyen et al [DQNJ02] and was adapted to the GPUby Harris et al[MJHL02].• streamline renderingMany rendering techniques are common for visualizing the streamlines like forexample StreamTubes, StreamRibbons, StreamBoxes and illuminated streamlines(see figure 2.23 next page). Out–of–core rendering of particle traces inreal–time was published by [RBJ01] (see figure 2.22 next page). An extraordinaryvisualization from 1995 using StreamTubes shows a magnetic dipole reversal2.24 by Glatzmaier and Roberts published in Nature.25
Related Work2.2. Flow Visualization AlgorithmsFigure 2.22: Real–time out–of–core Particle Traces[RBJ01]. The user can set particle seed pointsinteractive using the red cube.Figure 2.23: Illuminated streamlines passing a wing[MZH96]. Illumination improves depth perception.Figure 2.24: Magnetic Field of the Earth. (left) 500 years before magnetic dipole reversal. (right) 500 yearsafter magnetic dipole reversal [GR95b][GR95a][TCCG99]. The color of the StreamTubes denotesmagnetic North Pole and South Pole.26
Page 1 and 2: D I P L O M A R B E I TCash FlowA V
Page 3 and 4: KurzfassungDie Fusionierung von Vis
Page 5: 3.7.2 Drawback of the Virtual Array
Page 9 and 10: Introductionis then executed using
Page 11 and 12: Related WorkAll of these frameworks
Page 13 and 14: Related Work2.1. Data Flow Models2.
Page 15 and 16: Related Work2.1. Data Flow Modelspu
Page 23 and 24: Related Work2.1. Data Flow ModelsTh
Page 27 and 28: Related Work2.2. Flow Visualization
Page 31: Related Work2.2. Flow Visualization
Page 45 and 46: Chapter 3Software Design3.1 CashFlo
Page 47 and 48: Software Design3.1. CashFlow Visual
Page 49 and 50: Software Design3.2. Using the Scene
Page 51 and 52: Software Design3.3. Indirect Refere
Page 53 and 54: Software Design3.4. Using Virtual A
Page 55 and 56: Software Design3.4. Using Virtual A
Page 57 and 58: Software Design3.5. General CashFlo
Page 59 and 60: Software Design3.6. MultiData NodeT
Page 61 and 62: Software Design3.7. DataAccess Node
Page 67 and 68: Software Design3.8. Grid Nodealgori
Page 69 and 70: Software Design3.10. Render Nodes-
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Page 73 and 74: Chapter 4ImplementationFigure 4.1:
Page 75 and 76: Implementation4.1. Accessing Data4.
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Implementation4.4. SoDataAccessNode
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Implementation4.5. Implementation o
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Implementation4.7. CashFlow Class H
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Implementation4.7. CashFlow Class H
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Results5.1. Combining MultiData Nod
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Results5.1. Combining MultiData Nod
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Results5.2. CashFlow Scene Graph Ex
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Results5.2. CashFlow Scene Graph Ex
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Results5.3. Curvilinear Grid Visual
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Results5.4. Streamlines in CashFlow
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Results5.5. Grid Iterator ExamplesF
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Results5.6. Example for Parameteriz
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Results5.7. Polygonal Surfaces & Te
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Appendix AField connection &TGS Mes
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DanksagungVielen Dank an meine Schw
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2.35 Colored Flow field topology ex
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Bibliography[3D] Java 3D. Java 3D c
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[CEI94] CEI. http://www.ceintl.com/
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[EYSK94] David S. Ebert, Roni Yagel
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[HP97] Hans - Christian Hege and Ko
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[MAY] MAYA. MAYA c○ by ALIAS c○
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[RBHC91] B. Lucas R. B. Haber and N
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[Tog02] Together. Borland R○ Toge
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[WJSV92] G. D. Montanaro William J.
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network, 39OpenDX, 15sink, 13source
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flow field, 19transfer function, 6t
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