<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>1103</id>
    <completedYear/>
    <publishedYear>2008</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2008-12-12</completedDate>
    <publishedDate>2008-12-12</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Dual Streamline Seeding - Method and Implementation</title>
    <abstract language="eng">This work introduces a novel streamline seeding technique based on dual streamlines that are orthogonal to the vector field, instead of tangential. The greedy algorithm presented here produces a net of orthogonal streamlines that is iteratively refined resulting in good domain coverage and a high degree of continuity and uniformity. The algorithm is easy to implement and efficient, and it naturally extends to curved surfaces.</abstract>
    <abstract language="deu">In dieser Arbeit wird eine neue Strategie zur Platzierung von Stromlinien vorgestellt. Hierzu werden zusätzliche duale Stromlinien verwendet, die --im Gegensatz zur üblichen Definition-- orthogonal zum Vektorfeld verlaufen. Der vorgestellte Greedy-Algorithmus berechnet ein Netz aus orthogonalen Stromlinien, welches iterativ verfeinert wird, was zu einer guten Abdeckung der Domäne und einer gleichmäßigen Verteilung der Stromlinien führt. Es handelt sich um einen einfach zu implementierenden und effizienten Algorithmus, der direkt auf gekrümmten Oberflächen anwendbar ist.</abstract>
    <identifier type="serial">08-49</identifier>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="opus3-id">1141</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-11032</identifier>
    <enrichment key="SourceTitle">Appeared in: Proceedings of the IEEE Pacific Visualization Symposium (P. Eades, T. Ertl und H.-W. Shen, Hg.), 2009, S. 9–16.</enrichment>
    <author>Olufemi Rosanwo</author>
    <submitter>unknown unknown</submitter>
    <author>Christoph Petz</author>
    <author>Steffen Prohaska</author>
    <author>Ingrid Hotz</author>
    <author>Hans-Christian Hege</author>
    <series>
      <title>ZIB-Report</title>
      <number>08-49</number>
    </series>
    <collection role="ddc" number="004">Datenverarbeitung; Informatik</collection>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="institutes" number="vissys">Image Analysis in Biology and Materials Science</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="persons" number="prohaska">Prohaska, Steffen</collection>
    <collection role="projects" number="FLOW-VIS">FLOW-VIS</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/1103/DualSeeding.pdf</file>
  </doc>
  <doc>
    <id>3739</id>
    <completedYear>2009</completedYear>
    <publishedYear>2009</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>9</pageFirst>
    <pageLast>16</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace>Beijing, China</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Dual Streamline Seeding</title>
    <parentTitle language="eng">Proceedings of the IEEE Pacific Visualization Symposium</parentTitle>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-11032</enrichment>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Olufemi Rosanwo</author>
    <editor>Peter Eades</editor>
    <author>Christoph Petz</author>
    <editor>Thomas Ertl</editor>
    <author>Steffen Prohaska</author>
    <editor>Han-Wei Shen</editor>
    <author>Ingrid Hotz</author>
    <author>Hans-Christian Hege</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="institutes" number="vissys">Image Analysis in Biology and Materials Science</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="persons" number="prohaska">Prohaska, Steffen</collection>
    <collection role="projects" number="FLOW-VIS">FLOW-VIS</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
</export-example>
