https://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&feed=atom&action=historyParaView/Surface LIC Implementation - Revision history2024-03-28T21:39:31ZRevision history for this page on the wikiMediaWiki 1.38.6https://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&diff=49039&oldid=prevBurlen at 01:14, 23 October 20122012-10-23T01:14:19Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">=</del>= Controls <del style="font-weight: bold; text-decoration: none;">=</del>=</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>= Controls =</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">=</del>== Noise Texture <del style="font-weight: bold; text-decoration: none;">=</del>==</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>== Noise Texture ==</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">=</del>== High-Pass Filter <del style="font-weight: bold; text-decoration: none;">=</del>==</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>== High-Pass Filter ==</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">=</del>== Anti-Aliasing <del style="font-weight: bold; text-decoration: none;">=</del>==</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>== Anti-Aliasing ==</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>==<del style="font-weight: bold; text-decoration: none;">= </del>Color Normalization ===</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>== <ins style="font-weight: bold; text-decoration: none;">Gray Scale </ins>Color Normalization =<ins style="font-weight: bold; text-decoration: none;">=</ins></div></td></tr>
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</table>Burlenhttps://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&diff=49038&oldid=prevBurlen at 01:12, 23 October 20122012-10-23T01:12:33Z<p></p>
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<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">== Controls ==</ins></div></td></tr>
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</table>Burlenhttps://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&diff=48956&oldid=prevUtkarsh: moved Surface LIC Implementation to ParaView/Surface LIC Implementation: Moving to ParaView scope2012-10-15T20:06:13Z<p>moved <a href="/Wiki/Surface_LIC_Implementation" class="mw-redirect" title="Surface LIC Implementation">Surface LIC Implementation</a> to <a href="/Wiki/ParaView/Surface_LIC_Implementation" title="ParaView/Surface LIC Implementation">ParaView/Surface LIC Implementation</a>: Moving to ParaView scope</p>
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</td></tr></table>Utkarshhttps://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&diff=48955&oldid=prevBurlen at 19:29, 15 October 20122012-10-15T19:29:42Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:29, 15 October 2012</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Robert S. Laramee, Bruno Jobard, and Helwig Hauser. 2003. Image Space Based Visualization of Unsteady Flow on Surfaces. In Proceedings of the 14th IEEE Visualization 2003 (VIS'03) (VIS '03). IEEE Computer Society, Washington, DC, USA, 18-. DOI=10.1109/VISUAL.2003.1250364 http://dx.doi.org/10.1109/VISUAL.2003.1250364 </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Robert S. Laramee, Bruno Jobard, and Helwig Hauser. 2003. Image Space Based Visualization of Unsteady Flow on Surfaces. In Proceedings of the 14th IEEE Visualization 2003 (VIS'03) (VIS '03). IEEE Computer Society, Washington, DC, USA, 18-. DOI=10.1109/VISUAL.2003.1250364 http://dx.doi.org/10.1109/VISUAL.2003.1250364 </div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Vector Normalization ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Vector Normalization ===</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arc length. This tends to make all regions of flow look similar despite any differences in flow strength. When vector normalization is disabled each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different for each. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice. The following two screen shots illustrate the difference between normalizing and not.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arc length. This tends to make all regions of flow look similar despite any differences in flow strength. When vector normalization is disabled each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different for each. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice. The following two screen shots illustrate the difference between normalizing and not.</div></td></tr>
</table>Burlenhttps://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&diff=48952&oldid=prevBurlen at 19:24, 15 October 20122012-10-15T19:24:52Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Vector Normalization ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Vector Normalization ===</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arc length. This tends to make all regions of flow look similar despite any differences in flow strength. When vector normalization is disabled each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different for each. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arc length. This tends to make all regions of flow look similar despite any differences in flow strength. When vector normalization is disabled each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different for each. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice<ins style="font-weight: bold; text-decoration: none;">. The following two screen shots illustrate the difference between normalizing and not</ins>.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[</del>File:Paraview-gui-w-normalize.png<del style="font-weight: bold; text-decoration: none;">|200px</del>|Surface LIC with vector field normalization enabled<del style="font-weight: bold; text-decoration: none;">]]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"><gallery widths=300px heights=230px></ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[</del>File:Paraview-gui-wo-normalize.<del style="font-weight: bold; text-decoration: none;">png200px</del>|Surface LIC with vector field normalization disabled<del style="font-weight: bold; text-decoration: none;">]]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>File:Paraview-gui-w-normalize.png|Surface LIC with vector field normalization enabled</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>File:Paraview-gui-wo-normalize.<ins style="font-weight: bold; text-decoration: none;">png</ins>|Surface LIC with vector field normalization disabled</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></gallery></ins></div></td></tr>
</table>Burlenhttps://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&diff=48951&oldid=prevBurlen at 19:18, 15 October 20122012-10-15T19:18:51Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:18, 15 October 2012</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arc length. This tends to make all regions of flow look similar despite any differences in flow strength. When vector normalization is disabled each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different for each. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arc length. This tends to make all regions of flow look similar despite any differences in flow strength. When vector normalization is disabled each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different for each. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:Paraview-gui-w-normalize.png]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:Paraview-gui-w-normalize.png<ins style="font-weight: bold; text-decoration: none;">|200px|Surface LIC with vector field normalization enabled</ins>]]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:Paraview-gui-wo-normalize.<del style="font-weight: bold; text-decoration: none;">png</del>]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:Paraview-gui-wo-normalize.<ins style="font-weight: bold; text-decoration: none;">png200px|Surface LIC with vector field normalization disabled</ins>]]</div></td></tr>
</table>Burlenhttps://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&diff=48949&oldid=prevBurlen: /* Vector Normalization */2012-10-15T19:15:43Z<p><span dir="auto"><span class="autocomment">Vector Normalization</span></span></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Vector Normalization ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Vector Normalization ===</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arc length. This tends to make all regions of flow look similar despite any differences in flow strength. When vector normalization is disabled each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different for each. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arc length. This tends to make all regions of flow look similar despite any differences in flow strength. When vector normalization is disabled each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different for each. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice.</div></td></tr>
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</table>Burlenhttps://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&diff=48947&oldid=prevBurlen at 19:14, 15 October 20122012-10-15T19:14:32Z<p></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Vector Normalization ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Vector Normalization ===</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same <del style="font-weight: bold; text-decoration: none;">arclength</del>. This tends to make all regions of flow look similar despite any differences in flow strength. When <del style="font-weight: bold; text-decoration: none;">not enabled, </del>each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different for each. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same <ins style="font-weight: bold; text-decoration: none;">arc length</ins>. This tends to make all regions of flow look similar despite any differences in flow strength. When <ins style="font-weight: bold; text-decoration: none;">vector normalization is disabled </ins>each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different for each. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice.</div></td></tr>
</table>Burlenhttps://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&diff=48946&oldid=prevBurlen at 19:13, 15 October 20122012-10-15T19:13:28Z<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:13, 15 October 2012</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The current implementation is based on a combination of the following two algorithms:</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The current implementation is based on a combination of the following two algorithms:</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"><pre></del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">{| width="50%" class="wikitable"</ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Brian Cabral and Leith Casey Leedom. 1993. Imaging vector fields using line integral convolution. In Proceedings of the 20th annual conference on Computer graphics and interactive techniques (SIGGRAPH '93). ACM, New York, NY, USA, 263-270. DOI=10.1145/166117.166151 http://doi.acm.org/10.1145/166117.166151</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|</ins>Brian Cabral and Leith Casey Leedom. 1993. Imaging vector fields using line integral convolution. In Proceedings of the 20th annual conference on Computer graphics and interactive techniques (SIGGRAPH '93). ACM, New York, NY, USA, 263-270. DOI=10.1145/166117.166151 http://doi.acm.org/10.1145/166117.166151</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></pre></del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|}</ins></div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"><pre></del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">{| width="50%" class="wikitable"</ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Robert S. Laramee, Bruno Jobard, and Helwig Hauser. 2003. Image Space Based Visualization of Unsteady Flow on Surfaces. In Proceedings of the 14th IEEE Visualization 2003 (VIS'03) (VIS '03). IEEE Computer Society, Washington, DC, USA, 18-. DOI=10.1109/VISUAL.2003.1250364 http://dx.doi.org/10.1109/VISUAL.2003.1250364</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|</ins>Robert S. Laramee, Bruno Jobard, and Helwig Hauser. 2003. Image Space Based Visualization of Unsteady Flow on Surfaces. In Proceedings of the 14th IEEE Visualization 2003 (VIS'03) (VIS '03). IEEE Computer Society, Washington, DC, USA, 18-. DOI=10.1109/VISUAL.2003.1250364 http://dx.doi.org/10.1109/VISUAL.2003.1250364 </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></pre></del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|}</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Vector Normalization ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Vector Normalization ===</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arclength. This tends to make all regions of flow look similar despite any differences in flow strength. When not enabled, each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">One of the differences between the Cabral's algorithm and Laramee's algorithm is that Cabral's normalizes the vector field during integration. In ParaView one may select between normalized and un-normalized vectors during integration. </ins>When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arclength. This tends to make all regions of flow look similar despite any differences in flow strength. When not enabled, each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different <ins style="font-weight: bold; text-decoration: none;">for each</ins>. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice.</div></td></tr>
</table>Burlenhttps://public.kitware.com/Wiki/index.php?title=ParaView/Surface_LIC_Implementation&diff=48945&oldid=prevBurlen: Created page with "This page describes implementation details of ParaView's Surface LIC Representation. The Surface LIC Representation is provided as a ParaView plugin. == Implementation Details =..."2012-10-15T18:52:27Z<p>Created page with "This page describes implementation details of ParaView's Surface LIC Representation. The Surface LIC Representation is provided as a ParaView plugin. == Implementation Details =..."</p>
<p><b>New page</b></p><div>This page describes implementation details of ParaView's Surface LIC Representation. The Surface LIC Representation is provided as a ParaView plugin.<br />
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== Implementation Details ==<br />
=== Algorithm ===<br />
The current implementation is based on a combination of the following two algorithms:<br />
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<pre><br />
Brian Cabral and Leith Casey Leedom. 1993. Imaging vector fields using line integral convolution. In Proceedings of the 20th annual conference on Computer graphics and interactive techniques (SIGGRAPH '93). ACM, New York, NY, USA, 263-270. DOI=10.1145/166117.166151 http://doi.acm.org/10.1145/166117.166151<br />
</pre><br />
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<pre><br />
Robert S. Laramee, Bruno Jobard, and Helwig Hauser. 2003. Image Space Based Visualization of Unsteady Flow on Surfaces. In Proceedings of the 14th IEEE Visualization 2003 (VIS'03) (VIS '03). IEEE Computer Society, Washington, DC, USA, 18-. DOI=10.1109/VISUAL.2003.1250364 http://dx.doi.org/10.1109/VISUAL.2003.1250364<br />
</pre><br />
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=== Vector Normalization ===<br />
When vector normalization is enabled(the default) the input vector field is normalized during integration, and each integration occurs over the same arclength. This tends to make all regions of flow look similar despite any differences in flow strength. When not enabled, each integration occurs over an arc length proportional to the field magnitude, which tends to visually retain relationships between strong and weak regions of flow. Both are valid approaches but the input parameters used to produce good results will be quite different. It's easier to get consistently good results across many datasets when normalizing the vector field, thus this should be one's first choice.</div>Burlen