Precise radial un-distortion of images
Radial image distortion is a frequently observed defect when using wide angle, low focal length lenses. In this paper a new method for its calibration and removal is presented. An inverse distortion model is derived that is accurate to a sub-pixel level, over a broad range of distortion levels. An i...
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creator | Mallon, J. Whelan, P.F. |
description | Radial image distortion is a frequently observed defect when using wide angle, low focal length lenses. In this paper a new method for its calibration and removal is presented. An inverse distortion model is derived that is accurate to a sub-pixel level, over a broad range of distortion levels. An iterative technique for estimating the models parameters from a single view is also detailed. Results on simulated and real images clearly indicate significantly improved performance compared to existing methods. |
doi_str_mv | 10.1109/ICPR.2004.1333995 |
format | Conference Proceeding |
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In this paper a new method for its calibration and removal is presented. An inverse distortion model is derived that is accurate to a sub-pixel level, over a broad range of distortion levels. An iterative technique for estimating the models parameters from a single view is also detailed. Results on simulated and real images clearly indicate significantly improved performance compared to existing methods.</description><identifier>ISSN: 1051-4651</identifier><identifier>ISBN: 0769521282</identifier><identifier>ISBN: 9780769521282</identifier><identifier>EISSN: 2831-7475</identifier><identifier>DOI: 10.1109/ICPR.2004.1333995</identifier><language>eng</language><publisher>IEEE</publisher><subject>Calibration ; Geometrical optics ; Inverse problems ; Lenses ; Manufacturing ; Mathematical model ; Optical distortion ; Polynomials ; Predistortion ; Taylor series</subject><ispartof>Proceedings of the 17th International Conference on Pattern Recognition, 2004. 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In this paper a new method for its calibration and removal is presented. An inverse distortion model is derived that is accurate to a sub-pixel level, over a broad range of distortion levels. An iterative technique for estimating the models parameters from a single view is also detailed. Results on simulated and real images clearly indicate significantly improved performance compared to existing methods.</description><subject>Calibration</subject><subject>Geometrical optics</subject><subject>Inverse problems</subject><subject>Lenses</subject><subject>Manufacturing</subject><subject>Mathematical model</subject><subject>Optical distortion</subject><subject>Polynomials</subject><subject>Predistortion</subject><subject>Taylor series</subject><issn>1051-4651</issn><issn>2831-7475</issn><isbn>0769521282</isbn><isbn>9780769521282</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tOwzAQRS0eEmnhAxCbrNg5nbEzzniJIh6VKlFVsK6c2EZGpUFxWPD3RKKru7rnnivELUKFCHa1bre7SgHUFWqtraUzUSjWKJu6oXOxgMZYUqhYXYgCgVDWhvBKLHL-BFCgiQtxvx1Dn3IoR-eTO5Q_R-lTnoZxSsOxHGKZvtxHyNfiMrpDDjenXIr3p8e39kVuXp_X7cNGJoU8Se6c884gcYzUsAHutLd9mE1sHy0xdU3dsTNE1nuYO6w5IqN2QZFXeinu_rkphLD_Huf18Xd_-qf_ALb0QLY</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Mallon, J.</creator><creator>Whelan, P.F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>Precise radial un-distortion of images</title><author>Mallon, J. ; Whelan, P.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i218t-8baada6158ff578608b3d9ce7699cf9585b74b8a6559dd0218838f1813ae25d23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Calibration</topic><topic>Geometrical optics</topic><topic>Inverse problems</topic><topic>Lenses</topic><topic>Manufacturing</topic><topic>Mathematical model</topic><topic>Optical distortion</topic><topic>Polynomials</topic><topic>Predistortion</topic><topic>Taylor series</topic><toplevel>online_resources</toplevel><creatorcontrib>Mallon, J.</creatorcontrib><creatorcontrib>Whelan, P.F.</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>Mallon, J.</au><au>Whelan, P.F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Precise radial un-distortion of images</atitle><btitle>Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004</btitle><stitle>ICPR</stitle><date>2004</date><risdate>2004</risdate><volume>1</volume><spage>18</spage><epage>21 Vol.1</epage><pages>18-21 Vol.1</pages><issn>1051-4651</issn><eissn>2831-7475</eissn><isbn>0769521282</isbn><isbn>9780769521282</isbn><abstract>Radial image distortion is a frequently observed defect when using wide angle, low focal length lenses. In this paper a new method for its calibration and removal is presented. An inverse distortion model is derived that is accurate to a sub-pixel level, over a broad range of distortion levels. An iterative technique for estimating the models parameters from a single view is also detailed. Results on simulated and real images clearly indicate significantly improved performance compared to existing methods.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.2004.1333995</doi><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Calibration Geometrical optics Inverse problems Lenses Manufacturing Mathematical model Optical distortion Polynomials Predistortion Taylor series |
title | Precise radial un-distortion of images |
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