Mirage: an O(n) time analytical solution to 3D camera pose estimation with multi-camera support
Mirage is a camera pose estimation method that analytically solves pose parameters in linear time for multi-camera systems. It utilizes a reference camera pose to calculate the pose by minimizing the 2D projection error between reference and actual pixel coordinates. Previously, Mirage has been succ...
Gespeichert in:
Veröffentlicht in: | Robotica 2017-12, Vol.35 (12), p.2278-2296 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2296 |
---|---|
container_issue | 12 |
container_start_page | 2278 |
container_title | Robotica |
container_volume | 35 |
creator | Dinc, Semih Fahimi, Farbod Aygun, Ramazan |
description | Mirage is a camera pose estimation method that analytically solves pose parameters in linear time for multi-camera systems. It utilizes a reference camera pose to calculate the pose by minimizing the 2D projection error between reference and actual pixel coordinates. Previously, Mirage has been successfully applied to trajectory tracking (visual servoing) problem. In this study, a comprehensive evaluation of Mirage is performed by particularly focusing on the area of camera pose estimation. Experiments have been performed using simulated and real data on noisy and noise-free environments. The results are compared with the state-of-the-art techniques. Mirage outperforms other methods by generating fast and accurate results in all tested environments. |
doi_str_mv | 10.1017/S0263574716000874 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1961005350</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S0263574716000874</cupid><sourcerecordid>1961005350</sourcerecordid><originalsourceid>FETCH-LOGICAL-c317t-7b9c45531bda67f9bdf3b1291033bdf63f0c1ff6fa47970f2e9145f21fcd42833</originalsourceid><addsrcrecordid>eNp1UMlOwzAQtRBIlOUDuFniAofATOzYCTdUVqmoB-AcOYldUiV1sB2h_j0u7QEJcZoZvUXzHiFnCFcIKK9fIRUsk1yiAIBc8j0yQS6KJBci3yeTDZxs8ENy5P0SABlyOSHlS-vUQt9QtaLzi9UlDW2v46G6dWhr1VFvuzG0dkWDpeyO1qrXTtHBek21j2T1A3614YP2YxfaZMfw4zBYF07IgVGd16e7eUzeH-7fpk_JbP74PL2dJTVDGRJZFTXPMoZVo4Q0RdUYVmFaIDAWd8EM1GiMMIrLQoJJdYE8MymauuFpztgxOd_6Ds5-jvGzcmlHF2P4EguBABnLILJwy6qd9d5pUw4uRnDrEqHc9Fj-6TFq2E6j-sq1zUL_sv5X9Q0zCnQ_</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1961005350</pqid></control><display><type>article</type><title>Mirage: an O(n) time analytical solution to 3D camera pose estimation with multi-camera support</title><source>Cambridge University Press Journals Complete</source><creator>Dinc, Semih ; Fahimi, Farbod ; Aygun, Ramazan</creator><creatorcontrib>Dinc, Semih ; Fahimi, Farbod ; Aygun, Ramazan</creatorcontrib><description>Mirage is a camera pose estimation method that analytically solves pose parameters in linear time for multi-camera systems. It utilizes a reference camera pose to calculate the pose by minimizing the 2D projection error between reference and actual pixel coordinates. Previously, Mirage has been successfully applied to trajectory tracking (visual servoing) problem. In this study, a comprehensive evaluation of Mirage is performed by particularly focusing on the area of camera pose estimation. Experiments have been performed using simulated and real data on noisy and noise-free environments. The results are compared with the state-of-the-art techniques. Mirage outperforms other methods by generating fast and accurate results in all tested environments.</description><identifier>ISSN: 0263-5747</identifier><identifier>EISSN: 1469-8668</identifier><identifier>DOI: 10.1017/S0263574716000874</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Cameras ; Mathematical analysis ; Pose estimation ; Trajectory analysis</subject><ispartof>Robotica, 2017-12, Vol.35 (12), p.2278-2296</ispartof><rights>Copyright © Cambridge University Press 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c317t-7b9c45531bda67f9bdf3b1291033bdf63f0c1ff6fa47970f2e9145f21fcd42833</citedby><cites>FETCH-LOGICAL-c317t-7b9c45531bda67f9bdf3b1291033bdf63f0c1ff6fa47970f2e9145f21fcd42833</cites><orcidid>0000-0001-7244-7475 ; 0000-0002-6453-6774</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0263574716000874/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,780,784,27924,27925,55628</link.rule.ids></links><search><creatorcontrib>Dinc, Semih</creatorcontrib><creatorcontrib>Fahimi, Farbod</creatorcontrib><creatorcontrib>Aygun, Ramazan</creatorcontrib><title>Mirage: an O(n) time analytical solution to 3D camera pose estimation with multi-camera support</title><title>Robotica</title><addtitle>Robotica</addtitle><description>Mirage is a camera pose estimation method that analytically solves pose parameters in linear time for multi-camera systems. It utilizes a reference camera pose to calculate the pose by minimizing the 2D projection error between reference and actual pixel coordinates. Previously, Mirage has been successfully applied to trajectory tracking (visual servoing) problem. In this study, a comprehensive evaluation of Mirage is performed by particularly focusing on the area of camera pose estimation. Experiments have been performed using simulated and real data on noisy and noise-free environments. The results are compared with the state-of-the-art techniques. Mirage outperforms other methods by generating fast and accurate results in all tested environments.</description><subject>Cameras</subject><subject>Mathematical analysis</subject><subject>Pose estimation</subject><subject>Trajectory analysis</subject><issn>0263-5747</issn><issn>1469-8668</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1UMlOwzAQtRBIlOUDuFniAofATOzYCTdUVqmoB-AcOYldUiV1sB2h_j0u7QEJcZoZvUXzHiFnCFcIKK9fIRUsk1yiAIBc8j0yQS6KJBci3yeTDZxs8ENy5P0SABlyOSHlS-vUQt9QtaLzi9UlDW2v46G6dWhr1VFvuzG0dkWDpeyO1qrXTtHBek21j2T1A3614YP2YxfaZMfw4zBYF07IgVGd16e7eUzeH-7fpk_JbP74PL2dJTVDGRJZFTXPMoZVo4Q0RdUYVmFaIDAWd8EM1GiMMIrLQoJJdYE8MymauuFpztgxOd_6Ds5-jvGzcmlHF2P4EguBABnLILJwy6qd9d5pUw4uRnDrEqHc9Fj-6TFq2E6j-sq1zUL_sv5X9Q0zCnQ_</recordid><startdate>201712</startdate><enddate>201712</enddate><creator>Dinc, Semih</creator><creator>Fahimi, Farbod</creator><creator>Aygun, Ramazan</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-7244-7475</orcidid><orcidid>https://orcid.org/0000-0002-6453-6774</orcidid></search><sort><creationdate>201712</creationdate><title>Mirage: an O(n) time analytical solution to 3D camera pose estimation with multi-camera support</title><author>Dinc, Semih ; Fahimi, Farbod ; Aygun, Ramazan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c317t-7b9c45531bda67f9bdf3b1291033bdf63f0c1ff6fa47970f2e9145f21fcd42833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Cameras</topic><topic>Mathematical analysis</topic><topic>Pose estimation</topic><topic>Trajectory analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dinc, Semih</creatorcontrib><creatorcontrib>Fahimi, Farbod</creatorcontrib><creatorcontrib>Aygun, Ramazan</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Robotica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dinc, Semih</au><au>Fahimi, Farbod</au><au>Aygun, Ramazan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mirage: an O(n) time analytical solution to 3D camera pose estimation with multi-camera support</atitle><jtitle>Robotica</jtitle><addtitle>Robotica</addtitle><date>2017-12</date><risdate>2017</risdate><volume>35</volume><issue>12</issue><spage>2278</spage><epage>2296</epage><pages>2278-2296</pages><issn>0263-5747</issn><eissn>1469-8668</eissn><abstract>Mirage is a camera pose estimation method that analytically solves pose parameters in linear time for multi-camera systems. It utilizes a reference camera pose to calculate the pose by minimizing the 2D projection error between reference and actual pixel coordinates. Previously, Mirage has been successfully applied to trajectory tracking (visual servoing) problem. In this study, a comprehensive evaluation of Mirage is performed by particularly focusing on the area of camera pose estimation. Experiments have been performed using simulated and real data on noisy and noise-free environments. The results are compared with the state-of-the-art techniques. Mirage outperforms other methods by generating fast and accurate results in all tested environments.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/S0263574716000874</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0001-7244-7475</orcidid><orcidid>https://orcid.org/0000-0002-6453-6774</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0263-5747 |
ispartof | Robotica, 2017-12, Vol.35 (12), p.2278-2296 |
issn | 0263-5747 1469-8668 |
language | eng |
recordid | cdi_proquest_journals_1961005350 |
source | Cambridge University Press Journals Complete |
subjects | Cameras Mathematical analysis Pose estimation Trajectory analysis |
title | Mirage: an O(n) time analytical solution to 3D camera pose estimation with multi-camera support |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T10%3A02%3A33IST&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=Mirage:%20an%20O(n)%20time%20analytical%20solution%20to%203D%20camera%20pose%20estimation%20with%20multi-camera%20support&rft.jtitle=Robotica&rft.au=Dinc,%20Semih&rft.date=2017-12&rft.volume=35&rft.issue=12&rft.spage=2278&rft.epage=2296&rft.pages=2278-2296&rft.issn=0263-5747&rft.eissn=1469-8668&rft_id=info:doi/10.1017/S0263574716000874&rft_dat=%3Cproquest_cross%3E1961005350%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=1961005350&rft_id=info:pmid/&rft_cupid=10_1017_S0263574716000874&rfr_iscdi=true |