Automatic Calibration of a Range Sensor and Camera System
We propose an automated method to recover the full calibration parameters between a 3D range sensor and a monocular camera system. Our method is not only accurate and fully automated, but also relies on a simple calibration target consisting of a single circle. This allows the algorithm to be suitab...
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creator | Alismail, H. Baker, L. D. Browning, B. |
description | We propose an automated method to recover the full calibration parameters between a 3D range sensor and a monocular camera system. Our method is not only accurate and fully automated, but also relies on a simple calibration target consisting of a single circle. This allows the algorithm to be suitable for applications requiring in-situ calibration. We demonstrate the effectiveness of the algorithm on a camera-lidar system and show results on 3D mapping tasks. |
doi_str_mv | 10.1109/3DIMPVT.2012.52 |
format | Conference Proceeding |
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D.</creatorcontrib><creatorcontrib>Browning, B.</creatorcontrib><title>Automatic Calibration of a Range Sensor and Camera System</title><title>2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission</title><addtitle>3dimpvt</addtitle><description>We propose an automated method to recover the full calibration parameters between a 3D range sensor and a monocular camera system. Our method is not only accurate and fully automated, but also relies on a simple calibration target consisting of a single circle. This allows the algorithm to be suitable for applications requiring in-situ calibration. We demonstrate the effectiveness of the algorithm on a camera-lidar system and show results on 3D mapping tasks.</description><subject>actuated lidar camera</subject><subject>Calibration</subject><subject>camera-lidar calibration</subject><subject>Cameras</subject><subject>colorized point clouds</subject><subject>Iterative closest point algorithm</subject><subject>Laser radar</subject><subject>Robot vision systems</subject><issn>1550-6185</issn><isbn>1467344702</isbn><isbn>9781467344708</isbn><isbn>9780769548739</isbn><isbn>0769548733</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjM1Kw0AURkdUsNasXbiZF0i8dybztyzVaqGi2OC2zEzuSKRJJImLvr0BhQPfWXwcxm4RCkRw9_Jh-_L2URUCUBRKnLHMGQtGO1VaI905u8ZSG1mWBsQFW6BSkGu06opl4_gFAHNFY6kWzK1-pr71UxP52h-bMMzad7xP3PN3330S31M39gP3XT0_Who835_Gidobdpn8caTsf5es2jxW6-d89_q0Xa92eRRaTLkxMYZknNAYvKREhIHq5DGBSXUUyUpDJgYSzgoLKWCY8Sh81FFYuWR3f9mGiA7fQ9P64XTQ0igALX8B6URKBQ</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Alismail, H.</creator><creator>Baker, L. 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D. ; Browning, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c262t-77ccbf79261ba3efee1bedfa1f07fdc2f837e7cbe298280fb1bb1ba12ac6c283</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>actuated lidar camera</topic><topic>Calibration</topic><topic>camera-lidar calibration</topic><topic>Cameras</topic><topic>colorized point clouds</topic><topic>Iterative closest point algorithm</topic><topic>Laser radar</topic><topic>Robot vision systems</topic><toplevel>online_resources</toplevel><creatorcontrib>Alismail, H.</creatorcontrib><creatorcontrib>Baker, L. D.</creatorcontrib><creatorcontrib>Browning, B.</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>Alismail, H.</au><au>Baker, L. D.</au><au>Browning, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Automatic Calibration of a Range Sensor and Camera System</atitle><btitle>2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission</btitle><stitle>3dimpvt</stitle><date>2012-01-01</date><risdate>2012</risdate><spage>286</spage><epage>292</epage><pages>286-292</pages><issn>1550-6185</issn><isbn>1467344702</isbn><isbn>9781467344708</isbn><eisbn>9780769548739</eisbn><eisbn>0769548733</eisbn><coden>IEEPAD</coden><abstract>We propose an automated method to recover the full calibration parameters between a 3D range sensor and a monocular camera system. Our method is not only accurate and fully automated, but also relies on a simple calibration target consisting of a single circle. This allows the algorithm to be suitable for applications requiring in-situ calibration. 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identifier | ISSN: 1550-6185 |
ispartof | 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, 2012, p.286-292 |
issn | 1550-6185 |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | actuated lidar camera Calibration camera-lidar calibration Cameras colorized point clouds Iterative closest point algorithm Laser radar Robot vision systems |
title | Automatic Calibration of a Range Sensor and Camera System |
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