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Conference Paper: Camera calibration with spheres: Linear approaches

TitleCamera calibration with spheres: Linear approaches
Authors
KeywordsCamera calibration
Conic homography
Orthogonal calibration
Calibration
Cameras
Issue Date2005
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349
Citation
The IEEE International Conference on Image Processing (ICIP) 2005, Genoa, Italy, 11-14 September 2005. In International Conference on Image Processing Proceedings, 2005, v. 2, p. 1150-1153 How to Cite?
AbstractThis paper addresses the problem of camera calibration from spheres. By studying the relationship between the dual images of spheres and that of the absolute conic, a linear solution has been derived from a recently proposed non-linear semi-definite approach. However, experiments show that this approach is quite sensitive to noise. In order to overcome this problem, a second approach has been proposed, where the orthogonal calibration relationship is obtained by regarding any two spheres as a surface of revolution. This allows a camera to be fully calibrated from an image of three spheres. Besides, a conic homography is derived from the imaged spheres, and from its eigenvectors the orthogonal invariants can be computed directly. Experiments on synthetic and real data show the practicality of such an approach. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/137140
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, Hen_HK
dc.contributor.authorZhang, Gen_HK
dc.contributor.authorWong, KYKen_HK
dc.date.accessioned2011-08-23T08:36:48Z-
dc.date.available2011-08-23T08:36:48Z-
dc.date.issued2005en_HK
dc.identifier.citationThe IEEE International Conference on Image Processing (ICIP) 2005, Genoa, Italy, 11-14 September 2005. In International Conference on Image Processing Proceedings, 2005, v. 2, p. 1150-1153en_HK
dc.identifier.issn1522-4880en_HK
dc.identifier.urihttp://hdl.handle.net/10722/137140-
dc.description.abstractThis paper addresses the problem of camera calibration from spheres. By studying the relationship between the dual images of spheres and that of the absolute conic, a linear solution has been derived from a recently proposed non-linear semi-definite approach. However, experiments show that this approach is quite sensitive to noise. In order to overcome this problem, a second approach has been proposed, where the orthogonal calibration relationship is obtained by regarding any two spheres as a surface of revolution. This allows a camera to be fully calibrated from an image of three spheres. Besides, a conic homography is derived from the imaged spheres, and from its eigenvectors the orthogonal invariants can be computed directly. Experiments on synthetic and real data show the practicality of such an approach. © 2005 IEEE.en_HK
dc.languageeng-
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349en_HK
dc.relation.ispartofInternational Conference on Image Processing Proceedingsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsInternational Conference on Image Processing Proceedings. Copyright © IEEE.-
dc.rights©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectCamera calibration-
dc.subjectConic homography-
dc.subjectOrthogonal calibration-
dc.subjectCalibration-
dc.subjectCameras-
dc.titleCamera calibration with spheres: Linear approachesen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1522-4880&volume=2&spage=1150&epage=1153&date=2005&atitle=Camera+calibration+with+spheres:+Linear+approaches-
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICIP.2005.1530264en_HK
dc.identifier.scopuseid_2-s2.0-33749590961en_HK
dc.identifier.hkuros122393-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33749590961&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2en_HK
dc.identifier.spage1150en_HK
dc.identifier.epage1153en_HK
dc.publisher.placeUnited Statesen_HK
dc.description.otherThe IEEE International Conference on Image Processing (ICIP) 2005, Genoa, Italy, 11-14 September 2005. In International Conference on Image Processing Proceedings, 2005, v. 2, p. 1150-1153-
dc.identifier.scopusauthoridZhang, H=7409191962en_HK
dc.identifier.scopusauthoridZhang, G=36549908000en_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK

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