Triangulation of point clouds based on contact measurement system

The technique of surface reconstruction with point clouds has extensive use in surface modeling and visualization. Triangulation of point cloud data is an important method of surface reconstruction. In this paper, we analyzed the characteristics of the point cloud data obtained with contact measurem...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Li, Ruqiong, Li, Guangbu, Li, Zhi, Tan, Yonghong
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 757
container_issue
container_start_page 755
container_title
container_volume
creator Li, Ruqiong
Li, Guangbu
Li, Zhi
Tan, Yonghong
description The technique of surface reconstruction with point clouds has extensive use in surface modeling and visualization. Triangulation of point cloud data is an important method of surface reconstruction. In this paper, we analyzed the characteristics of the point cloud data obtained with contact measurement system and proposed an algorithm of triangulation. Firstly, using the chord-angular deviation criterion to reduce the original point clouds, then, The procedure of triangulation is presented that to construct the quadrangle with 4 points in contiguous 2 scanning lines, by compare the distance of diagonals and connect the two points which are near..All triangles meet the criterion of optimization. Example in this paper shows that the algorithm is efficient and easy to realize.
doi_str_mv 10.1109/CAIDCD.2009.5375102
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5375102</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5375102</ieee_id><sourcerecordid>5375102</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-d12653db698cfff5d7a799e2b9346ca8df633eddbf1b0bdea41452473d57a9733</originalsourceid><addsrcrecordid>eNo1UM1qwzAY8xiFrV2eoBe_QDL_Oz6GdFsLhV1yL3b8eXjkp8TJoW-_jHW6CCEhhBDaU1JQSsxrXZ0O9aFghJhCci0pYQ9oSwUTQjJVqkeUGV3-a1Vu0PY3a7iUlD6hLKVvskJILph-RlUzRTt8LZ2d4zjgMeDrGIcZt924-ISdTeDxarTjMNt2xj3YtEzQw5pJtzRD_4I2wXYJsjvvUPP-1tTH_Pz5caqrcx4NmXNPmZLcO2XKNoQgvbbaGGDOcKFaW_qgOAfvXaCOOA9W0HW_0NxLbY3mfIf2f7URAC7XKfZ2ul3uD_AfLBpOLw</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Triangulation of point clouds based on contact measurement system</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Li, Ruqiong ; Li, Guangbu ; Li, Zhi ; Tan, Yonghong</creator><creatorcontrib>Li, Ruqiong ; Li, Guangbu ; Li, Zhi ; Tan, Yonghong</creatorcontrib><description>The technique of surface reconstruction with point clouds has extensive use in surface modeling and visualization. Triangulation of point cloud data is an important method of surface reconstruction. In this paper, we analyzed the characteristics of the point cloud data obtained with contact measurement system and proposed an algorithm of triangulation. Firstly, using the chord-angular deviation criterion to reduce the original point clouds, then, The procedure of triangulation is presented that to construct the quadrangle with 4 points in contiguous 2 scanning lines, by compare the distance of diagonals and connect the two points which are near..All triangles meet the criterion of optimization. Example in this paper shows that the algorithm is efficient and easy to realize.</description><identifier>ISBN: 9781424452668</identifier><identifier>ISBN: 142445266X</identifier><identifier>EISBN: 1424452686</identifier><identifier>EISBN: 9781424452682</identifier><identifier>DOI: 10.1109/CAIDCD.2009.5375102</identifier><identifier>LCCN: 2009935511</identifier><language>eng</language><publisher>IEEE</publisher><subject>Clouds ; Data reduction ; Decision support systems ; Surface reconstruction ; Triangulation ; Virtual reality</subject><ispartof>2009 IEEE 10th International Conference on Computer-Aided Industrial Design &amp; Conceptual Design, 2009, p.755-757</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5375102$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5375102$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Li, Ruqiong</creatorcontrib><creatorcontrib>Li, Guangbu</creatorcontrib><creatorcontrib>Li, Zhi</creatorcontrib><creatorcontrib>Tan, Yonghong</creatorcontrib><title>Triangulation of point clouds based on contact measurement system</title><title>2009 IEEE 10th International Conference on Computer-Aided Industrial Design &amp; Conceptual Design</title><addtitle>CAIDCD</addtitle><description>The technique of surface reconstruction with point clouds has extensive use in surface modeling and visualization. Triangulation of point cloud data is an important method of surface reconstruction. In this paper, we analyzed the characteristics of the point cloud data obtained with contact measurement system and proposed an algorithm of triangulation. Firstly, using the chord-angular deviation criterion to reduce the original point clouds, then, The procedure of triangulation is presented that to construct the quadrangle with 4 points in contiguous 2 scanning lines, by compare the distance of diagonals and connect the two points which are near..All triangles meet the criterion of optimization. Example in this paper shows that the algorithm is efficient and easy to realize.</description><subject>Clouds</subject><subject>Data reduction</subject><subject>Decision support systems</subject><subject>Surface reconstruction</subject><subject>Triangulation</subject><subject>Virtual reality</subject><isbn>9781424452668</isbn><isbn>142445266X</isbn><isbn>1424452686</isbn><isbn>9781424452682</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UM1qwzAY8xiFrV2eoBe_QDL_Oz6GdFsLhV1yL3b8eXjkp8TJoW-_jHW6CCEhhBDaU1JQSsxrXZ0O9aFghJhCci0pYQ9oSwUTQjJVqkeUGV3-a1Vu0PY3a7iUlD6hLKVvskJILph-RlUzRTt8LZ2d4zjgMeDrGIcZt924-ISdTeDxarTjMNt2xj3YtEzQw5pJtzRD_4I2wXYJsjvvUPP-1tTH_Pz5caqrcx4NmXNPmZLcO2XKNoQgvbbaGGDOcKFaW_qgOAfvXaCOOA9W0HW_0NxLbY3mfIf2f7URAC7XKfZ2ul3uD_AfLBpOLw</recordid><startdate>200911</startdate><enddate>200911</enddate><creator>Li, Ruqiong</creator><creator>Li, Guangbu</creator><creator>Li, Zhi</creator><creator>Tan, Yonghong</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200911</creationdate><title>Triangulation of point clouds based on contact measurement system</title><author>Li, Ruqiong ; Li, Guangbu ; Li, Zhi ; Tan, Yonghong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-d12653db698cfff5d7a799e2b9346ca8df633eddbf1b0bdea41452473d57a9733</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Clouds</topic><topic>Data reduction</topic><topic>Decision support systems</topic><topic>Surface reconstruction</topic><topic>Triangulation</topic><topic>Virtual reality</topic><toplevel>online_resources</toplevel><creatorcontrib>Li, Ruqiong</creatorcontrib><creatorcontrib>Li, Guangbu</creatorcontrib><creatorcontrib>Li, Zhi</creatorcontrib><creatorcontrib>Tan, Yonghong</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li, Ruqiong</au><au>Li, Guangbu</au><au>Li, Zhi</au><au>Tan, Yonghong</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Triangulation of point clouds based on contact measurement system</atitle><btitle>2009 IEEE 10th International Conference on Computer-Aided Industrial Design &amp; Conceptual Design</btitle><stitle>CAIDCD</stitle><date>2009-11</date><risdate>2009</risdate><spage>755</spage><epage>757</epage><pages>755-757</pages><isbn>9781424452668</isbn><isbn>142445266X</isbn><eisbn>1424452686</eisbn><eisbn>9781424452682</eisbn><abstract>The technique of surface reconstruction with point clouds has extensive use in surface modeling and visualization. Triangulation of point cloud data is an important method of surface reconstruction. In this paper, we analyzed the characteristics of the point cloud data obtained with contact measurement system and proposed an algorithm of triangulation. Firstly, using the chord-angular deviation criterion to reduce the original point clouds, then, The procedure of triangulation is presented that to construct the quadrangle with 4 points in contiguous 2 scanning lines, by compare the distance of diagonals and connect the two points which are near..All triangles meet the criterion of optimization. Example in this paper shows that the algorithm is efficient and easy to realize.</abstract><pub>IEEE</pub><doi>10.1109/CAIDCD.2009.5375102</doi><tpages>3</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781424452668
ispartof 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design, 2009, p.755-757
issn
language eng
recordid cdi_ieee_primary_5375102
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Clouds
Data reduction
Decision support systems
Surface reconstruction
Triangulation
Virtual reality
title Triangulation of point clouds based on contact measurement system
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T21%3A50%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Triangulation%20of%20point%20clouds%20based%20on%20contact%20measurement%20system&rft.btitle=2009%20IEEE%2010th%20International%20Conference%20on%20Computer-Aided%20Industrial%20Design%20&%20Conceptual%20Design&rft.au=Li,%20Ruqiong&rft.date=2009-11&rft.spage=755&rft.epage=757&rft.pages=755-757&rft.isbn=9781424452668&rft.isbn_list=142445266X&rft_id=info:doi/10.1109/CAIDCD.2009.5375102&rft_dat=%3Cieee_6IE%3E5375102%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424452686&rft.eisbn_list=9781424452682&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5375102&rfr_iscdi=true