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What accuracy for 3D measurements with cameras?
We estimate the internal and external parameters of the camera, and simultaneously the distortion's parameters. Our aim is the selection of the best distortion model, using statistical test for the importance of distortion parameters. Also we examine the accuracy in camera parameter estimation...
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container_end_page | 358 vol.1 |
container_issue | |
container_start_page | 354 |
container_title | |
container_volume | 1 |
creator | Florou, G. Mohr, R. |
description | We estimate the internal and external parameters of the camera, and simultaneously the distortion's parameters. Our aim is the selection of the best distortion model, using statistical test for the importance of distortion parameters. Also we examine the accuracy in camera parameter estimation and 3D reconstruction, in relation with the noise in the image. We answer the question "until which level of noise, is it possible to obtain a good camera parameter estimation, and from there a good reconstruction?". Experiments are evaluated on simulated data and a rest is performed with real data. |
doi_str_mv | 10.1109/ICPR.1996.546048 |
format | conference_proceeding |
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Our aim is the selection of the best distortion model, using statistical test for the importance of distortion parameters. Also we examine the accuracy in camera parameter estimation and 3D reconstruction, in relation with the noise in the image. We answer the question "until which level of noise, is it possible to obtain a good camera parameter estimation, and from there a good reconstruction?". Experiments are evaluated on simulated data and a rest is performed with real data.</description><identifier>ISSN: 1051-4651</identifier><identifier>ISBN: 9780818672828</identifier><identifier>ISBN: 081867282X</identifier><identifier>EISSN: 2831-7475</identifier><identifier>DOI: 10.1109/ICPR.1996.546048</identifier><language>eng</language><publisher>IEEE</publisher><subject>Calibration ; Cameras ; Distortion measurement ; Image reconstruction ; Noise level ; Optical distortion ; Parameter estimation ; Pixel ; Scattering parameters ; Testing</subject><ispartof>Proceedings of 13th International Conference on Pattern Recognition, 1996, Vol.1, p.354-358 vol.1</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/546048$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/546048$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Florou, G.</creatorcontrib><creatorcontrib>Mohr, R.</creatorcontrib><title>What accuracy for 3D measurements with cameras?</title><title>Proceedings of 13th International Conference on Pattern Recognition</title><addtitle>ICPR</addtitle><description>We estimate the internal and external parameters of the camera, and simultaneously the distortion's parameters. Our aim is the selection of the best distortion model, using statistical test for the importance of distortion parameters. Also we examine the accuracy in camera parameter estimation and 3D reconstruction, in relation with the noise in the image. We answer the question "until which level of noise, is it possible to obtain a good camera parameter estimation, and from there a good reconstruction?". Experiments are evaluated on simulated data and a rest is performed with real data.</description><subject>Calibration</subject><subject>Cameras</subject><subject>Distortion measurement</subject><subject>Image reconstruction</subject><subject>Noise level</subject><subject>Optical distortion</subject><subject>Parameter estimation</subject><subject>Pixel</subject><subject>Scattering parameters</subject><subject>Testing</subject><issn>1051-4651</issn><issn>2831-7475</issn><isbn>9780818672828</isbn><isbn>081867282X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKxDAUQIMPsIzdi6v8QDu5ed2blUh9DQwoorgcMmlCK1Yl6SDz9wrj2ZzdgcPYBYgWQLjlqnt6bsE52xpthaYjVklS0KBGc8xqhyQIyKIkSSesAmGg0dbAGatLeRd_GEPWuoot3wY_cx_CLvuw5-krc3XDp-jLLscpfs6F_4zzwIOfYvbl6pydJv9RYv3vBXu9u33pHpr14_2qu143A1hDTaAg0MJWJfJ90gYpkuld0C55FEorq1OIMsjoEeRWBSQMySH2qbfJklqwy0N3jDFuvvM4-bzfHG7VLzTRRS8</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Florou, G.</creator><creator>Mohr, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>What accuracy for 3D measurements with cameras?</title><author>Florou, G. ; Mohr, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h1658-c8c0761b3f8adf4578e85d9c49fa7034364fce2c2ea712b3c787cf977dfd6f683</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Calibration</topic><topic>Cameras</topic><topic>Distortion measurement</topic><topic>Image reconstruction</topic><topic>Noise level</topic><topic>Optical distortion</topic><topic>Parameter estimation</topic><topic>Pixel</topic><topic>Scattering parameters</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Florou, G.</creatorcontrib><creatorcontrib>Mohr, R.</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/IET Electronic Library</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>Florou, G.</au><au>Mohr, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>What accuracy for 3D measurements with cameras?</atitle><btitle>Proceedings of 13th International Conference on Pattern Recognition</btitle><stitle>ICPR</stitle><date>1996</date><risdate>1996</risdate><volume>1</volume><spage>354</spage><epage>358 vol.1</epage><pages>354-358 vol.1</pages><issn>1051-4651</issn><eissn>2831-7475</eissn><isbn>9780818672828</isbn><isbn>081867282X</isbn><abstract>We estimate the internal and external parameters of the camera, and simultaneously the distortion's parameters. Our aim is the selection of the best distortion model, using statistical test for the importance of distortion parameters. Also we examine the accuracy in camera parameter estimation and 3D reconstruction, in relation with the noise in the image. We answer the question "until which level of noise, is it possible to obtain a good camera parameter estimation, and from there a good reconstruction?". Experiments are evaluated on simulated data and a rest is performed with real data.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.1996.546048</doi><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 1051-4651 |
ispartof | Proceedings of 13th International Conference on Pattern Recognition, 1996, Vol.1, p.354-358 vol.1 |
issn | 1051-4651 2831-7475 |
language | eng |
recordid | cdi_ieee_primary_546048 |
source | IEEE Xplore All Conference Series |
subjects | Calibration Cameras Distortion measurement Image reconstruction Noise level Optical distortion Parameter estimation Pixel Scattering parameters Testing |
title | What accuracy for 3D measurements with cameras? |
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