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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the 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/isprsannals-II-5-W3-191-2015</article-id>
<title-group>
<article-title>Point clouds segmentation as base for as-built BIM creation</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Macher</surname>
<given-names>H.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Landes</surname>
<given-names>T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Grussenmeyer</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Nat. Inst. of Applied Sciences of Strasbourg, Photogrammetry &amp; Geomatics Group, Strasbourg, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>11</day>
<month>08</month>
<year>2015</year>
</pub-date>
<volume>II-5/W3</volume>
<fpage>191</fpage>
<lpage>197</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2015 H. Macher et al.</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/II-5-W3/191/2015/isprs-annals-II-5-W3-191-2015.html">This article is available from https://isprs-annals.copernicus.org/articles/II-5-W3/191/2015/isprs-annals-II-5-W3-191-2015.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/II-5-W3/191/2015/isprs-annals-II-5-W3-191-2015.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/II-5-W3/191/2015/isprs-annals-II-5-W3-191-2015.pdf</self-uri>
<abstract>
<p>In this paper, a three steps segmentation approach is proposed in order to create 3D models from point clouds acquired by TLS
inside buildings. The three scales of segmentation are floors, rooms and planes composing the rooms. First, floor segmentation is
performed based on analysis of point distribution along Z axis. Then, for each floor, room segmentation is achieved considering a
slice of point cloud at ceiling level. Finally, planes are segmented for each room, and planes corresponding to ceilings and floors are
identified. Results of each step are analysed and potential improvements are proposed. Based on segmented point clouds, the
creation of as-built BIM is considered in a future work section. Not only the classification of planes into several categories is
proposed, but the potential use of point clouds acquired outside buildings is also considered.</p>
</abstract>
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