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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2518-1092</journal-id><journal-title-group><journal-title>Research result. Information technologies</journal-title></journal-title-group><issn pub-type="epub">2518-1092</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2518-1092-2018-3-4-0-1</article-id><article-id pub-id-type="publisher-id">1531</article-id><article-categories><subj-group subj-group-type="heading"><subject>COMPUTER SIMULATION</subject></subj-group></article-categories><title-group><article-title>HEURISTIC ALGORITHM OF POINT CLOUD SEGMENTATION</article-title><trans-title-group xml:lang="en"><trans-title>HEURISTIC ALGORITHM OF POINT CLOUD SEGMENTATION</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Gasilov</surname><given-names>Artur Vladimirovich,</given-names></name><name xml:lang="en"><surname>Gasilov</surname><given-names>Artur Vladimirovich,</given-names></name></name-alternatives><email>gasilov.av@ya.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Frolov</surname><given-names>Alexey Ivanovich</given-names></name><name xml:lang="en"><surname>Frolov</surname><given-names>Alexey Ivanovich</given-names></name></name-alternatives></contrib></contrib-group><pub-date pub-type="epub"><year>2018</year></pub-date><volume>3</volume><issue>4</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/information/2018/4/it_1.pdf" /><abstract xml:lang="ru"><p>The algorithm of point cloud segmentation is proposed in the article. This algorithm aimed to get segmentation similar to segmentation of object by his functional elements in field of interior design. The given algorithm is used as a part of method of dense 3D reconstruction enhancing for point cloud structuration at some point. Main idea of proposed algorithm is recursive division of parent cloud by two parts until exit conditions are met. Algorithm structure is reviewed, computing complexity is analyzed. The field for further investigations of given problems and their solution is suggested.</p></abstract><trans-abstract xml:lang="en"><p>The algorithm of point cloud segmentation is proposed in the article. This algorithm aimed to get segmentation similar to segmentation of object by his functional elements in field of interior design. The given algorithm is used as a part of method of dense 3D reconstruction enhancing for point cloud structuration at some point. Main idea of proposed algorithm is recursive division of parent cloud by two parts until exit conditions are met. Algorithm structure is reviewed, computing complexity is analyzed. The field for further investigations of given problems and their solution is suggested.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>point cloud</kwd><kwd>segmentation</kwd></kwd-group><kwd-group xml:lang="en"><kwd>point cloud</kwd><kwd>segmentation</kwd></kwd-group></article-meta></front><back /></article>