Diamond Inclusion Reconstruction

Diamond Inclusion Reconstruction

In this paper, we make an improvement on the conventional visual hull reconstruction method that runs on a single consumer graphics card. The target application is a high-precision diamond inclusion reconstruction system. One major contribution of this paper is an evaluation system of voxels for hig...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Communications in mathematics and statistics 2020-09, Vol.8 (3), p.341-359
Hauptverfasser: Yuan, Zijian, Song, Yanzhi, Chen, Falai, Yang, Zhouwang
Format: Artikel
Sprache:eng
Schlagworte:
Diamonds
Mathematics
Mathematics and Statistics
Reconstruction
Statistics
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 359
container_issue 3
container_start_page 341
container_title Communications in mathematics and statistics
container_volume 8
creator Yuan, Zijian
Song, Yanzhi
Chen, Falai
Yang, Zhouwang
description In this paper, we make an improvement on the conventional visual hull reconstruction method that runs on a single consumer graphics card. The target application is a high-precision diamond inclusion reconstruction system. One major contribution of this paper is an evaluation system of voxels for high-precision reconstruction. In contrast to existing approaches, it allows us to reconstruct the thin structure of the diamond inclusion. Based on this, we obtain a significant improvement in reconstruction precision, especially for thin inclusion.
doi_str_mv 10.1007/s40304-019-00206-2
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2438988421</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2438988421</sourcerecordid><originalsourceid>FETCH-LOGICAL-c270t-7d5d226c603d743013009f420cd5d01283ca310c7987ff55787968df5bf6cc763</originalsourceid><addsrcrecordid>eNp9kEtLAzEQx4MoWGq_gKcFz9HJJJvHUeqjhYIgCt7Cmt3Iljapye7Bb290RW-eZob5P-BHyDmDSwagrrIADoICMxQAQVI8IjNkRlCp2Mvx7w7slCxy3gIAk6iVqWekuumbfQxttQ5uN-Y-huqxczHkIY1uKOcZOfHNLneLnzknz3e3T8sV3Tzcr5fXG-pQwUBVW7eI0kngrRIcGAcwXiC48gCGmruGM3DKaOV9XatSL3Xr61cvnVOSz8nFlHtI8X3s8mC3cUyhVFoUXButBbKiwknlUsw5dd4eUr9v0odlYL9g2AmGLTDsNwyLxcQnUy7i8Nalv-h_XJ_uwF8Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2438988421</pqid></control><display><type>article</type><title>Diamond Inclusion Reconstruction</title><source>SpringerNature Journals</source><creator>Yuan, Zijian ; Song, Yanzhi ; Chen, Falai ; Yang, Zhouwang</creator><creatorcontrib>Yuan, Zijian ; Song, Yanzhi ; Chen, Falai ; Yang, Zhouwang</creatorcontrib><description>In this paper, we make an improvement on the conventional visual hull reconstruction method that runs on a single consumer graphics card. The target application is a high-precision diamond inclusion reconstruction system. One major contribution of this paper is an evaluation system of voxels for high-precision reconstruction. In contrast to existing approaches, it allows us to reconstruct the thin structure of the diamond inclusion. Based on this, we obtain a significant improvement in reconstruction precision, especially for thin inclusion.</description><identifier>ISSN: 2194-6701</identifier><identifier>EISSN: 2194-671X</identifier><identifier>DOI: 10.1007/s40304-019-00206-2</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Diamonds ; Mathematics ; Mathematics and Statistics ; Reconstruction ; Statistics</subject><ispartof>Communications in mathematics and statistics, 2020-09, Vol.8 (3), p.341-359</ispartof><rights>School of Mathematical Sciences, University of Science and Technology of China and Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>School of Mathematical Sciences, University of Science and Technology of China and Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-7d5d226c603d743013009f420cd5d01283ca310c7987ff55787968df5bf6cc763</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40304-019-00206-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40304-019-00206-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Yuan, Zijian</creatorcontrib><creatorcontrib>Song, Yanzhi</creatorcontrib><creatorcontrib>Chen, Falai</creatorcontrib><creatorcontrib>Yang, Zhouwang</creatorcontrib><title>Diamond Inclusion Reconstruction</title><title>Communications in mathematics and statistics</title><addtitle>Commun. Math. Stat</addtitle><description>In this paper, we make an improvement on the conventional visual hull reconstruction method that runs on a single consumer graphics card. The target application is a high-precision diamond inclusion reconstruction system. One major contribution of this paper is an evaluation system of voxels for high-precision reconstruction. In contrast to existing approaches, it allows us to reconstruct the thin structure of the diamond inclusion. Based on this, we obtain a significant improvement in reconstruction precision, especially for thin inclusion.</description><subject>Diamonds</subject><subject>Mathematics</subject><subject>Mathematics and Statistics</subject><subject>Reconstruction</subject><subject>Statistics</subject><issn>2194-6701</issn><issn>2194-671X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLAzEQx4MoWGq_gKcFz9HJJJvHUeqjhYIgCt7Cmt3Iljapye7Bb290RW-eZob5P-BHyDmDSwagrrIADoICMxQAQVI8IjNkRlCp2Mvx7w7slCxy3gIAk6iVqWekuumbfQxttQ5uN-Y-huqxczHkIY1uKOcZOfHNLneLnzknz3e3T8sV3Tzcr5fXG-pQwUBVW7eI0kngrRIcGAcwXiC48gCGmruGM3DKaOV9XatSL3Xr61cvnVOSz8nFlHtI8X3s8mC3cUyhVFoUXButBbKiwknlUsw5dd4eUr9v0odlYL9g2AmGLTDsNwyLxcQnUy7i8Nalv-h_XJ_uwF8Q</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Yuan, Zijian</creator><creator>Song, Yanzhi</creator><creator>Chen, Falai</creator><creator>Yang, Zhouwang</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20200901</creationdate><title>Diamond Inclusion Reconstruction</title><author>Yuan, Zijian ; Song, Yanzhi ; Chen, Falai ; Yang, Zhouwang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-7d5d226c603d743013009f420cd5d01283ca310c7987ff55787968df5bf6cc763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Diamonds</topic><topic>Mathematics</topic><topic>Mathematics and Statistics</topic><topic>Reconstruction</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yuan, Zijian</creatorcontrib><creatorcontrib>Song, Yanzhi</creatorcontrib><creatorcontrib>Chen, Falai</creatorcontrib><creatorcontrib>Yang, Zhouwang</creatorcontrib><collection>CrossRef</collection><jtitle>Communications in mathematics and statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yuan, Zijian</au><au>Song, Yanzhi</au><au>Chen, Falai</au><au>Yang, Zhouwang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diamond Inclusion Reconstruction</atitle><jtitle>Communications in mathematics and statistics</jtitle><stitle>Commun. Math. Stat</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>8</volume><issue>3</issue><spage>341</spage><epage>359</epage><pages>341-359</pages><issn>2194-6701</issn><eissn>2194-671X</eissn><abstract>In this paper, we make an improvement on the conventional visual hull reconstruction method that runs on a single consumer graphics card. The target application is a high-precision diamond inclusion reconstruction system. One major contribution of this paper is an evaluation system of voxels for high-precision reconstruction. In contrast to existing approaches, it allows us to reconstruct the thin structure of the diamond inclusion. Based on this, we obtain a significant improvement in reconstruction precision, especially for thin inclusion.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s40304-019-00206-2</doi><tpages>19</tpages></addata></record>
fulltext fulltext
identifier ISSN: 2194-6701
ispartof Communications in mathematics and statistics, 2020-09, Vol.8 (3), p.341-359
issn 2194-6701
2194-671X
language eng
recordid cdi_proquest_journals_2438988421
source SpringerNature Journals
subjects Diamonds
Mathematics
Mathematics and Statistics
Reconstruction
Statistics
title Diamond Inclusion Reconstruction
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T16%3A56%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diamond%20Inclusion%20Reconstruction&rft.jtitle=Communications%20in%20mathematics%20and%20statistics&rft.au=Yuan,%20Zijian&rft.date=2020-09-01&rft.volume=8&rft.issue=3&rft.spage=341&rft.epage=359&rft.pages=341-359&rft.issn=2194-6701&rft.eissn=2194-671X&rft_id=info:doi/10.1007/s40304-019-00206-2&rft_dat=%3Cproquest_cross%3E2438988421%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2438988421&rft_id=info:pmid/&rfr_iscdi=true