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Related Work2.2. Flow Visualization Algorithms2.2.3 Contour Lines and SurfacesFigure 2.25: Iso–line showing velocity magnitude from a VTK example[VTK96] .This visualization method is very old. Contour lines are also well known as contourlines in road maps. Since this concept was so intuitive, it has been adapted bymechanical engineers and extended to several data attributes like:• IsobarLine of constant pressure. Is shown in most weather forecast maps circulararound the high and low fields. Figure 2.26 on page 28 shows a visualizationof a three–dimensional Isobar.• IsothermLine of constant temperature. Also frequently shown on weather forecast maps.• IsentropicLine of constant entropy. Entropy describes the level of disorder in a thermodynamicsystem. Its opposite is Enthalpy, which is the available thermic workingability of a medium.• constant velocityLine showing same amount of velocity magnitude (see figure 2.25 on page 27)Marching cubes [LC87] is the most popular approach for iso–surfaces extractionand was extended by many others. The principle of Marching cubes was also appliedfor iso–surface extraction from irregular volume data [CMPS96]. Also Marching Tetrahedron[GS01] is quite fast and more simple to implement since there are not so manydifferent cases to distinguish as in Marching cubes. The visualization pipeline was brokeninto pieces and iso–surface extraction was even done via the internet as web–basedvolume visualization by Klaus Engel[KEE99].Iso–surface extraction still is an important research topic [LB02][Nie03]. For instancea speedup by using hierarchical iso–surfaces allows the user a quick change ofthe iso–value [VBL + 03][HLS03]. Even out–of–core iso–surface extraction has been27
Related Work2.2. Flow Visualization AlgorithmsFigure 2.26: Iso–surface of oxygen post dataset[BLC01].done [Chi03]. An extraordinary work on improving the quality of marching cubes wasdone by [TJW02]. Tao and Losasso[TJW02] included vector data on orientation of theiso–surface per iso–surface intersection point and calculated new rendering points thatare not on the planes of the cells. For details see figure 2 on page 340 of Siggraph proceedings[TJW02]. Recently an astonishing paper on GPU–based isosurface renderingwas published by Pascucci [Pas04].28
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
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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
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Implementation4.4. SoDataAccessNode
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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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