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<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-annals-IV-4-W8-19-2019</article-id>
<title-group>
<article-title>CITY RECONSTRUCTION FROM AIRBORNE LIDAR: A COMPUTATIONAL GEOMETRY APPROACH</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bauchet</surname>
<given-names>J.-P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lafarge</surname>
<given-names>F.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>LuxCarta Technology, Mouans-Sartoux, France</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Inria, Sophia-Antipolis, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>23</day>
<month>09</month>
<year>2019</year>
</pub-date>
<volume>IV-4/W8</volume>
<fpage>19</fpage>
<lpage>26</lpage>
<permissions>
<copyright-statement>Copyright: © 2019 J.-P. Bauchet</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/isprs-annals-IV-4-W8-19-2019.html">This article is available from https://isprs-annals.copernicus.org/articles/isprs-annals-IV-4-W8-19-2019.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/isprs-annals-IV-4-W8-19-2019.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/isprs-annals-IV-4-W8-19-2019.pdf</self-uri>
<abstract>
<p>We introduce a pipeline that reconstructs buildings of urban environments as concise polygonal meshes from airborne LiDAR scans. It consists of three main steps: classification, building contouring, and building reconstruction, the two last steps being achieved using computational geometry tools. Our algorithm demonstrates its robustness, flexibility and scalability by producing accurate and compact 3D models over large and varied urban areas in a few minutes only.</p>
</abstract>
<counts><page-count count="8"/></counts>
</article-meta>
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