File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Camera calibration from surfaces of revolution

TitleCamera calibration from surfaces of revolution
Authors
KeywordsAbsolute conic
Camera calibration
Harmonic homology
Surface of revolution
Vanishing point
Issue Date2003
PublisherI E E E. The Journal's web site is located at http://www.computer.org/tpami
Citation
Ieee Transactions On Pattern Analysis And Machine Intelligence, 2003, v. 25 n. 2, p. 147-161 How to Cite?
AbstractThis paper addresses the problem of calibrating a pinhole camera from images of a surface of revolution. Camera calibration is the process of determining the intrinsic or internal parameters (i.e., aspect ratio, focal length, and principal point) of a camera, and it is important for both motion estimation and metric reconstruction of 3D models. In this paper, a novel and simple calibration technique is introduced, which is based on exploiting the symmetry of images of surfaces of revolution. Traditional techniques for camera calibration involve taking images of some precisely machined calibration pattern (such as a calibration grid). The use of surfaces of revolution, which are commonly found in daily life (e.g., bowls and vases), makes the process easier as a result of the reduced cost and increased accessibility of the calibration objects. In this paper, it is shown that two images of a surface of revolution will provide enough information for determining the aspect ratio, focal length, and principal point of a camera with fixed intrinsic parameters. The algorithms presented in this paper have been implemented and tested with both synthetic and real data. Experimental results show that the camera calibration method presented here is both practical and accurate.
Persistent Identifierhttp://hdl.handle.net/10722/43663
ISSN
2015 Impact Factor: 6.077
2015 SCImago Journal Rankings: 7.653
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWong, KYKen_HK
dc.contributor.authorMendonça, PRSen_HK
dc.contributor.authorCipolla, Ren_HK
dc.date.accessioned2007-03-23T04:51:31Z-
dc.date.available2007-03-23T04:51:31Z-
dc.date.issued2003en_HK
dc.identifier.citationIeee Transactions On Pattern Analysis And Machine Intelligence, 2003, v. 25 n. 2, p. 147-161en_HK
dc.identifier.issn0162-8828en_HK
dc.identifier.urihttp://hdl.handle.net/10722/43663-
dc.description.abstractThis paper addresses the problem of calibrating a pinhole camera from images of a surface of revolution. Camera calibration is the process of determining the intrinsic or internal parameters (i.e., aspect ratio, focal length, and principal point) of a camera, and it is important for both motion estimation and metric reconstruction of 3D models. In this paper, a novel and simple calibration technique is introduced, which is based on exploiting the symmetry of images of surfaces of revolution. Traditional techniques for camera calibration involve taking images of some precisely machined calibration pattern (such as a calibration grid). The use of surfaces of revolution, which are commonly found in daily life (e.g., bowls and vases), makes the process easier as a result of the reduced cost and increased accessibility of the calibration objects. In this paper, it is shown that two images of a surface of revolution will provide enough information for determining the aspect ratio, focal length, and principal point of a camera with fixed intrinsic parameters. The algorithms presented in this paper have been implemented and tested with both synthetic and real data. Experimental results show that the camera calibration method presented here is both practical and accurate.en_HK
dc.format.extent1657651 bytes-
dc.format.extent25600 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://www.computer.org/tpamien_HK
dc.relation.ispartofIEEE Transactions on Pattern Analysis and Machine Intelligenceen_HK
dc.rights©2003 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.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAbsolute conicen_HK
dc.subjectCamera calibrationen_HK
dc.subjectHarmonic homologyen_HK
dc.subjectSurface of revolutionen_HK
dc.subjectVanishing pointen_HK
dc.titleCamera calibration from surfaces of revolutionen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0162-8828&volume=25&issue=2&spage=147&epage=161&date=2003&atitle=Camera+calibration+from+surfaces+of+revolutionen_HK
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/TPAMI.2003.1177148en_HK
dc.identifier.scopuseid_2-s2.0-0037328223en_HK
dc.identifier.hkuros76163-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0037328223&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume25en_HK
dc.identifier.issue2en_HK
dc.identifier.spage147en_HK
dc.identifier.epage161en_HK
dc.identifier.isiWOS:000180519800001-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK
dc.identifier.scopusauthoridMendonça, PRS=6701829174en_HK
dc.identifier.scopusauthoridCipolla, R=7006935878en_HK
dc.identifier.citeulike3384245-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats