A simple calibration method for restricted camera estimation
In real applications, there is often the need of estimating the intrinsic and extrinsic parameters of a camera directly from the images of natural scenes or working scenarios. When there are only several feature points can be determined, the results of current calibration methods are very unstable....
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| creator | Bin Kong Fei Zheng Tingjian Fang |
| description | In real applications, there is often the need of estimating the intrinsic and extrinsic parameters of a camera directly from the images of natural scenes or working scenarios. When there are only several feature points can be determined, the results of current calibration methods are very unstable. In this paper, a geometrical method is presented for estimating a restricted camera. It can estimate f even when only one feature point is valid. Experiments show that it has good robustness and reliability, and it is tolerant to multiple error sources. |
| doi_str_mv | 10.1109/ICIA.2005.1635144 |
| format | Conference Proceeding |
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When there are only several feature points can be determined, the results of current calibration methods are very unstable. In this paper, a geometrical method is presented for estimating a restricted camera. It can estimate f even when only one feature point is valid. 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When there are only several feature points can be determined, the results of current calibration methods are very unstable. In this paper, a geometrical method is presented for estimating a restricted camera. It can estimate f even when only one feature point is valid. Experiments show that it has good robustness and reliability, and it is tolerant to multiple error sources.</description><subject>Automation</subject><subject>Calibration</subject><subject>Equations</subject><subject>Image reconstruction</subject><subject>Layout</subject><subject>Machine intelligence</subject><subject>Motion control</subject><subject>Robustness</subject><subject>Smart cameras</subject><subject>Yield estimation</subject><isbn>0780393031</isbn><isbn>9780780393035</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jr0KwjAUhQMi-NcHEJe8gPVek6gFl1IUu7uX2N5ipLElyeLbG6SzZzlwvm84jK0RUkTIdmVR5ukeQKV4EAqlnLAFHE8gMgECZyzx_gUxUkmJYs7OOffGDh3xWnfm4XQw_ZtbCs--4W3vuCMfnKkDNdGw5DSPg7E_b8Wmre48JWMv2eZ6uRe3rSGianBRc59qPCL-0y-yRzdp</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Bin Kong</creator><creator>Fei Zheng</creator><creator>Tingjian Fang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>A simple calibration method for restricted camera estimation</title><author>Bin Kong ; Fei Zheng ; Tingjian Fang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_16351443</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Automation</topic><topic>Calibration</topic><topic>Equations</topic><topic>Image reconstruction</topic><topic>Layout</topic><topic>Machine intelligence</topic><topic>Motion control</topic><topic>Robustness</topic><topic>Smart cameras</topic><topic>Yield estimation</topic><toplevel>online_resources</toplevel><creatorcontrib>Bin Kong</creatorcontrib><creatorcontrib>Fei Zheng</creatorcontrib><creatorcontrib>Tingjian Fang</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>Bin Kong</au><au>Fei Zheng</au><au>Tingjian Fang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A simple calibration method for restricted camera estimation</atitle><btitle>2005 IEEE International Conference on Information Acquisition</btitle><stitle>ICIA</stitle><date>2005</date><risdate>2005</risdate><spage>4 pp.</spage><pages>4 pp.-</pages><isbn>0780393031</isbn><isbn>9780780393035</isbn><abstract>In real applications, there is often the need of estimating the intrinsic and extrinsic parameters of a camera directly from the images of natural scenes or working scenarios. When there are only several feature points can be determined, the results of current calibration methods are very unstable. In this paper, a geometrical method is presented for estimating a restricted camera. It can estimate f even when only one feature point is valid. Experiments show that it has good robustness and reliability, and it is tolerant to multiple error sources.</abstract><pub>IEEE</pub><doi>10.1109/ICIA.2005.1635144</doi></addata></record> |
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| identifier | ISBN: 0780393031 |
| ispartof | 2005 IEEE International Conference on Information Acquisition, 2005, p.4 pp. |
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| language | eng |
| recordid | cdi_ieee_primary_1635144 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Automation Calibration Equations Image reconstruction Layout Machine intelligence Motion control Robustness Smart cameras Yield estimation |
| title | A simple calibration method for restricted camera estimation |
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