CashFlow, A Visualization Framework for 3D Flow - Studierstube ...

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Results5.5. Grid Iterator Examples5.5 Grid Iterator ExamplesAs proposed in section 4.5.2 on page 83 Grid Iterators can decouple the visualizationalgorithm from the grid representation. The advantage of that approach is, that thealgorithm can be applied to several grids without modifications. Also a new type ofgrid can be accessed by several algorithms by implementing the grid interface for thenew grid only. The disadvantage of that additional software layer is, that the executionspeed of the algorithms is decreased compared to algorithms using raw access to thegrids, taking properties of the grid into account.Two examples, figure 5.17 and figure 5.18 shows the use of grid iterators. The firstimage in figure 5.17 show the space shuttle data set rendered two times. The rearyellow part was created using two cutting planes and the from green part shows theinverse selection visualizing the rest of the plane. Note, that the data set is defined ona curvilinear grid. The visualization was created by iterating over the grid.The second example in figure 5.18 shows iso–volumes below a certain iso–valuerendered in red using the cuberille rendering style [LC85]. The image in the middle offigure 5.18 shows the inverted selection from the above image in red. The lowest imageillustrates the inverted selection again using a wire–frame visualization combined witha point–cloud rendering of all inner cells.As future work we plan to port the marching cubes algorithm by [LC87] to Cash-Flow creating a marching cubes grid iterator. Figure 5.19 shows a human skull generatedwith marching cubes rendered as IndexedFaceSet using an Open Source implementation.Figure 5.17: CashFlow Cutting Planes113
Results5.5. Grid Iterator ExamplesFigure 5.18: CashFlow Marching cube rendered with cuberille [LC85].Figure 5.19: CashFlow Marching Cubes: A open source marching cubes implementation was used togenerate this skull rendered as IndexedFaceSet.114
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D I P L O M A R B E I TCash FlowA V
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KurzfassungDie Fusionierung von Vis
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3.7.2 Drawback of the Virtual Array
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Introductionis then executed using
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Related WorkAll of these frameworks
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Related Work2.1. Data Flow Models2.
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Related Work2.1. Data Flow Modelspu
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Related Work2.1. Data Flow ModelsTh
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Related Work2.2. Flow Visualization
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Chapter 3Software Design3.1 CashFlo
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Software Design3.1. CashFlow Visual
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Software Design3.2. Using the Scene
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Software Design3.3. Indirect Refere
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Software Design3.4. Using Virtual A
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Software Design3.4. Using Virtual A
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Software Design3.5. General CashFlo
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Software Design3.6. MultiData NodeT
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Software Design3.7. DataAccess Node
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Software Design3.8. Grid Nodealgori
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Software Design3.10. Render Nodes-
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Software Design3.12. User Interacti
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Page 131 and 132: Appendix AField connection &TGS Mes
Page 133 and 134: DanksagungVielen Dank an meine Schw
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Page 137 and 138: Bibliography[3D] Java 3D. Java 3D c
Page 139 and 140: [CEI94] CEI. http://www.ceintl.com/
Page 141 and 142: [EYSK94] David S. Ebert, Roni Yagel
Page 143 and 144: [HP97] Hans - Christian Hege and Ko
Page 145 and 146: [MAY] MAYA. MAYA c○ by ALIAS c○
Page 147 and 148: [RBHC91] B. Lucas R. B. Haber and N
Page 149 and 150: [Tog02] Together. Borland R○ Toge
Page 151 and 152: [WJSV92] G. D. Montanaro William J.
Page 153 and 154: network, 39OpenDX, 15sink, 13source
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