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Article: 1D camera geometry and its application to the self-calibration of circular motion sequences

Title1D camera geometry and its application to the self-calibration of circular motion sequences
Authors
Keywords1D projective camera
Circular motion
Homography
Self-calibration
Issue Date2008
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, 2008, v. 30 n. 12, p. 2243-2248 How to Cite?
AbstractThis paper proposes a novel method for robustly recovering the camera geometry of an uncalibrated image sequence taken under circular motion. Under circular motion, all the camera centers lie on a circle and the mapping from the plane containing this circle to the horizon line observed in the image can be modelled as a 1D projection. A 2×2 homography is introduced in this paper to relate the projections of the camera centers in two 1D views. It is shown that the two imaged circular points of the motion plane and the rotation angle between the two views can be derived directly from such a homography. This way of recovering the imaged circular points and rotation angles is intrinsically a multiple view approach, as all the sequence geometry embedded in the epipoles is exploited in the estimation of the homography for each view pair. This results in a more robust method compared to those computing the rotation angles using adjacent views only. The proposed method has been applied to self-calibrate turntable sequences using either point features or silhouettes, and highly accurate results have been achieved. © 2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/138032
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.authorZhang, Gen_HK
dc.contributor.authorLiang, Cen_HK
dc.contributor.authorZhang, Hen_HK
dc.date.accessioned2011-08-26T14:39:00Z-
dc.date.available2011-08-26T14:39:00Z-
dc.date.issued2008en_HK
dc.identifier.citationIeee Transactions On Pattern Analysis And Machine Intelligence, 2008, v. 30 n. 12, p. 2243-2248en_HK
dc.identifier.issn0162-8828en_HK
dc.identifier.urihttp://hdl.handle.net/10722/138032-
dc.description.abstractThis paper proposes a novel method for robustly recovering the camera geometry of an uncalibrated image sequence taken under circular motion. Under circular motion, all the camera centers lie on a circle and the mapping from the plane containing this circle to the horizon line observed in the image can be modelled as a 1D projection. A 2×2 homography is introduced in this paper to relate the projections of the camera centers in two 1D views. It is shown that the two imaged circular points of the motion plane and the rotation angle between the two views can be derived directly from such a homography. This way of recovering the imaged circular points and rotation angles is intrinsically a multiple view approach, as all the sequence geometry embedded in the epipoles is exploited in the estimation of the homography for each view pair. This results in a more robust method compared to those computing the rotation angles using adjacent views only. The proposed method has been applied to self-calibrate turntable sequences using either point features or silhouettes, and highly accurate results have been achieved. © 2008 IEEE.en_HK
dc.languageengen_US
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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsIEEE Transactions on Pattern Analysis and Machine Intelligence. Copyright © IEEE.-
dc.rights©2008 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.subject1D projective cameraen_HK
dc.subjectCircular motionen_HK
dc.subjectHomographyen_HK
dc.subjectSelf-calibrationen_HK
dc.subject.meshAlgorithms-
dc.subject.meshArtificial Intelligence-
dc.subject.meshImage Enhancement - methods - standards-
dc.subject.meshImage Interpretation, Computer-Assisted - methods - standards-
dc.subject.meshPattern Recognition, Automated - methods-
dc.title1D camera geometry and its application to the self-calibration of circular motion sequencesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0162-8828&volume=30&issue=12&spage=2243&epage=2248&date=2008&atitle=1D+camera+geometry+and+its+application+to+the+self-calibration+of+circular+motion+sequences-
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/TPAMI.2008.169en_HK
dc.identifier.pmid18988956-
dc.identifier.scopuseid_2-s2.0-56549086693en_HK
dc.identifier.hkuros154232en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-56549086693&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume30en_HK
dc.identifier.issue12en_HK
dc.identifier.spage2243en_HK
dc.identifier.epage2248en_HK
dc.identifier.isiWOS:000260033900014-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK
dc.identifier.scopusauthoridZhang, G=36549908000en_HK
dc.identifier.scopusauthoridLiang, C=54786617200en_HK
dc.identifier.scopusauthoridZhang, H=7409191962en_HK
dc.identifier.citeulike3581817-

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