Calibration of lens distortion by structured-light scanning
This paper describes a new method to automatically calibrate lens distortion of wide-angle lenses. We project structured-light patterns using a flat display to generate a map between the display and the image coordinate systems. This approach has two advantages. First, it is easier to take correspon...
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creator | Sagawa, R. Takatsuji, M. Echigo, T. Yagi, Y. |
description | This paper describes a new method to automatically calibrate lens distortion of wide-angle lenses. We project structured-light patterns using a flat display to generate a map between the display and the image coordinate systems. This approach has two advantages. First, it is easier to take correspondences of image and marker (display) coordinates around the edge of a camera image than using a usual marker, e.g. a checker board. Second, since we can easily construct a dense map, a simple linear interpolation is enough to create an undistorted image. Our method is not restricted by the distortion parameters because it directly generates the map. We have evaluated the accuracy of our method and the error becomes smaller than results by parameter fitting. |
doi_str_mv | 10.1109/IROS.2005.1545167 |
format | Conference Proceeding |
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We project structured-light patterns using a flat display to generate a map between the display and the image coordinate systems. This approach has two advantages. First, it is easier to take correspondences of image and marker (display) coordinates around the edge of a camera image than using a usual marker, e.g. a checker board. Second, since we can easily construct a dense map, a simple linear interpolation is enough to create an undistorted image. Our method is not restricted by the distortion parameters because it directly generates the map. 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We project structured-light patterns using a flat display to generate a map between the display and the image coordinate systems. This approach has two advantages. First, it is easier to take correspondences of image and marker (display) coordinates around the edge of a camera image than using a usual marker, e.g. a checker board. Second, since we can easily construct a dense map, a simple linear interpolation is enough to create an undistorted image. Our method is not restricted by the distortion parameters because it directly generates the map. We have evaluated the accuracy of our method and the error becomes smaller than results by parameter fitting.</description><subject>Calibration</subject><subject>Calibration of lens distortion</subject><subject>Cameras</subject><subject>Displays</subject><subject>Image sampling</subject><subject>Interpolation</subject><subject>Lenses</subject><subject>non-parametric</subject><subject>Optical distortion</subject><subject>Parameter estimation</subject><subject>Robot vision systems</subject><subject>structured-light scanning</subject><subject>Yagi-Uda antennas</subject><issn>2153-0858</issn><issn>2153-0866</issn><isbn>0780389123</isbn><isbn>9780780389120</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9T8tKw0AUHayCtfYDxE1-IPHeeQ-uJPgoFAo-1mWSmdSRmMjMdNG_N2jp2Rw4LziE3CBUiGDuVq-bt4oCiAoFFyjVGZlTFKwELeWMXIHSwLRBys5PhtCXZJnSF0xgRnBUc3Jf2z400eYwDsXYFb0fUuFCymP8k5pDkXLct3kfvSv7sPvMRWrtMIRhd00uOtsnvzzygnw8Pb7XL-V687yqH9ZlyxjNJW-t4sYpVE5y0FR5xaS3hjYcO26k4w04JcFaNiWpsthqLQ31lOPUEmxBbv93g_d--xPDt42H7fE3-wVgLElK</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Sagawa, R.</creator><creator>Takatsuji, M.</creator><creator>Echigo, T.</creator><creator>Yagi, Y.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>Calibration of lens distortion by structured-light scanning</title><author>Sagawa, R. ; Takatsuji, M. ; Echigo, T. ; Yagi, Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c332t-4ca749d717d640827e736ea92b41f496d4b0d760aa3ca727a1c88692e241d7153</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Calibration</topic><topic>Calibration of lens distortion</topic><topic>Cameras</topic><topic>Displays</topic><topic>Image sampling</topic><topic>Interpolation</topic><topic>Lenses</topic><topic>non-parametric</topic><topic>Optical distortion</topic><topic>Parameter estimation</topic><topic>Robot vision systems</topic><topic>structured-light scanning</topic><topic>Yagi-Uda antennas</topic><toplevel>online_resources</toplevel><creatorcontrib>Sagawa, R.</creatorcontrib><creatorcontrib>Takatsuji, M.</creatorcontrib><creatorcontrib>Echigo, T.</creatorcontrib><creatorcontrib>Yagi, Y.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sagawa, R.</au><au>Takatsuji, M.</au><au>Echigo, T.</au><au>Yagi, Y.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Calibration of lens distortion by structured-light scanning</atitle><btitle>2005 IEEE/RSJ International Conference on Intelligent Robots and Systems</btitle><stitle>IROS</stitle><date>2005</date><risdate>2005</risdate><spage>832</spage><epage>837</epage><pages>832-837</pages><issn>2153-0858</issn><eissn>2153-0866</eissn><isbn>0780389123</isbn><isbn>9780780389120</isbn><abstract>This paper describes a new method to automatically calibrate lens distortion of wide-angle lenses. We project structured-light patterns using a flat display to generate a map between the display and the image coordinate systems. This approach has two advantages. First, it is easier to take correspondences of image and marker (display) coordinates around the edge of a camera image than using a usual marker, e.g. a checker board. Second, since we can easily construct a dense map, a simple linear interpolation is enough to create an undistorted image. Our method is not restricted by the distortion parameters because it directly generates the map. We have evaluated the accuracy of our method and the error becomes smaller than results by parameter fitting.</abstract><pub>IEEE</pub><doi>10.1109/IROS.2005.1545167</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Calibration Calibration of lens distortion Cameras Displays Image sampling Interpolation Lenses non-parametric Optical distortion Parameter estimation Robot vision systems structured-light scanning Yagi-Uda antennas |
title | Calibration of lens distortion by structured-light scanning |
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