Polygonization of point clouds of repetitive components in civil infrastructure based on geometric similarities
[Display omitted] •We propose a method for polygonizing from a point cloud based on similarity.•Our method uses shape matching to find similar components in point cloud.•Template models are arranged into the similar regions found by shape matching.•The template models are either in point cloud or cr...
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Veröffentlicht in: | Automation in construction 2018-02, Vol.86, p.99-117 |
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container_title | Automation in construction |
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creator | Hidaka, Nao Michikawa, Takashi Motamedi, Ali Yabuki, Nobuyoshi Fukuda, Tomohiro |
description | [Display omitted]
•We propose a method for polygonizing from a point cloud based on similarity.•Our method uses shape matching to find similar components in point cloud.•Template models are arranged into the similar regions found by shape matching.•The template models are either in point cloud or created by photogrammetry or CAD. |
doi_str_mv | 10.1016/j.autcon.2017.10.014 |
format | Article |
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•We propose a method for polygonizing from a point cloud based on similarity.•Our method uses shape matching to find similar components in point cloud.•Template models are arranged into the similar regions found by shape matching.•The template models are either in point cloud or created by photogrammetry or CAD.</description><identifier>ISSN: 0926-5805</identifier><identifier>EISSN: 1872-7891</identifier><identifier>DOI: 10.1016/j.autcon.2017.10.014</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>BIM for infrastructure ; Building information modeling ; CIM ; Civil engineering ; Cloud computing ; Computer simulation ; Digital data ; Geometric fitting ; Geometry ; Information management ; Infrastructure ; Maintenance ; Point cloud ; Polygonization ; Service life ; Shape matching ; Shape registration ; Studies ; Three dimensional models</subject><ispartof>Automation in construction, 2018-02, Vol.86, p.99-117</ispartof><rights>2017 Elsevier B.V.</rights><rights>Copyright Elsevier BV Feb 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-65dcfce4c3aac501f18f494bf59cff0987bebbbb8af3cfd0c0a15aeccee8b6f93</citedby><cites>FETCH-LOGICAL-c400t-65dcfce4c3aac501f18f494bf59cff0987bebbbb8af3cfd0c0a15aeccee8b6f93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S092658051730941X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Hidaka, Nao</creatorcontrib><creatorcontrib>Michikawa, Takashi</creatorcontrib><creatorcontrib>Motamedi, Ali</creatorcontrib><creatorcontrib>Yabuki, Nobuyoshi</creatorcontrib><creatorcontrib>Fukuda, Tomohiro</creatorcontrib><title>Polygonization of point clouds of repetitive components in civil infrastructure based on geometric similarities</title><title>Automation in construction</title><description>[Display omitted]
•We propose a method for polygonizing from a point cloud based on similarity.•Our method uses shape matching to find similar components in point cloud.•Template models are arranged into the similar regions found by shape matching.•The template models are either in point cloud or created by photogrammetry or CAD.</description><subject>BIM for infrastructure</subject><subject>Building information modeling</subject><subject>CIM</subject><subject>Civil engineering</subject><subject>Cloud computing</subject><subject>Computer simulation</subject><subject>Digital data</subject><subject>Geometric fitting</subject><subject>Geometry</subject><subject>Information management</subject><subject>Infrastructure</subject><subject>Maintenance</subject><subject>Point cloud</subject><subject>Polygonization</subject><subject>Service life</subject><subject>Shape matching</subject><subject>Shape registration</subject><subject>Studies</subject><subject>Three dimensional models</subject><issn>0926-5805</issn><issn>1872-7891</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9UE1LAzEQDaJgrf4DDwHPWyftfuUiSPELBD3oOWRnJ5KyTdYkW6i_3pR6di4z83jvDfMYuxawECDq281CTwm9WyxBNBlagChP2Ey0zbJoWilO2Qzksi6qFqpzdhHjBgAaqOWM-Xc_7L-8sz86We-4N3z01iWOg5_6eNgDjZRssjvi6Lejd-RS5NZxtDs75MEEHVOYME2BeKcj9Tw7fZHfUgoWebRbO-iQLShesjOjh0hXf33OPh8fPtbPxevb08v6_rXAEiAVddWjQSpxpTVWIIxoTSnLzlQSjQHZNh11uVptVmh6QNCi0oRI1Ha1kas5uzn6jsF_TxST2vgpuHxS5ZCWULVSlplVHlkYfIyBjBqD3eqwVwLUIVq1UcdoD6rmgOZos-zuKKP8wc5SUBEtOaTeBsKkem__N_gF3GuJWg</recordid><startdate>201802</startdate><enddate>201802</enddate><creator>Hidaka, Nao</creator><creator>Michikawa, Takashi</creator><creator>Motamedi, Ali</creator><creator>Yabuki, Nobuyoshi</creator><creator>Fukuda, Tomohiro</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201802</creationdate><title>Polygonization of point clouds of repetitive components in civil infrastructure based on geometric similarities</title><author>Hidaka, Nao ; Michikawa, Takashi ; Motamedi, Ali ; Yabuki, Nobuyoshi ; Fukuda, Tomohiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-65dcfce4c3aac501f18f494bf59cff0987bebbbb8af3cfd0c0a15aeccee8b6f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>BIM for infrastructure</topic><topic>Building information modeling</topic><topic>CIM</topic><topic>Civil engineering</topic><topic>Cloud computing</topic><topic>Computer simulation</topic><topic>Digital data</topic><topic>Geometric fitting</topic><topic>Geometry</topic><topic>Information management</topic><topic>Infrastructure</topic><topic>Maintenance</topic><topic>Point cloud</topic><topic>Polygonization</topic><topic>Service life</topic><topic>Shape matching</topic><topic>Shape registration</topic><topic>Studies</topic><topic>Three dimensional models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hidaka, Nao</creatorcontrib><creatorcontrib>Michikawa, Takashi</creatorcontrib><creatorcontrib>Motamedi, Ali</creatorcontrib><creatorcontrib>Yabuki, Nobuyoshi</creatorcontrib><creatorcontrib>Fukuda, Tomohiro</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Automation in construction</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hidaka, Nao</au><au>Michikawa, Takashi</au><au>Motamedi, Ali</au><au>Yabuki, Nobuyoshi</au><au>Fukuda, Tomohiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Polygonization of point clouds of repetitive components in civil infrastructure based on geometric similarities</atitle><jtitle>Automation in construction</jtitle><date>2018-02</date><risdate>2018</risdate><volume>86</volume><spage>99</spage><epage>117</epage><pages>99-117</pages><issn>0926-5805</issn><eissn>1872-7891</eissn><abstract>[Display omitted]
•We propose a method for polygonizing from a point cloud based on similarity.•Our method uses shape matching to find similar components in point cloud.•Template models are arranged into the similar regions found by shape matching.•The template models are either in point cloud or created by photogrammetry or CAD.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.autcon.2017.10.014</doi><tpages>19</tpages></addata></record> |
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subjects | BIM for infrastructure Building information modeling CIM Civil engineering Cloud computing Computer simulation Digital data Geometric fitting Geometry Information management Infrastructure Maintenance Point cloud Polygonization Service life Shape matching Shape registration Studies Three dimensional models |
title | Polygonization of point clouds of repetitive components in civil infrastructure based on geometric similarities |
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