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Article: Self-calibration from one circular motion sequence and two images

TitleSelf-calibration from one circular motion sequence and two images
Authors
KeywordsCircular motion
Circular projective reconstruction
Self-calibration
Issue Date2006
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pr
Citation
Pattern Recognition, 2006, v. 39 n. 9, p. 1672-1678 How to Cite?
AbstractThis paper describes a new method for self-calibration of camera with constant internal parameters under circular motion, using one sequence and two images captured with different camera orientations. Unlike the previous method, in which three circular motion sequences are needed with known motion, the new method computes the rotation angles and the projective reconstructions of the sequence and the images with circular constraint enforced, which is called a circular projective reconstruction, using a factorization-based method. It is then shown that the images of the circular points of each circular projective reconstruction can be readily obtained. Subsequently, the image of the absolute conic and the calibration matrix of the camera can be determined. Experiments on both synthetic and real image sequence are given, showing the accuracy and robustness of the new algorithm. © 2006 Pattern Recognition Society.
Persistent Identifierhttp://hdl.handle.net/10722/73973
ISSN
2015 Impact Factor: 3.399
2015 SCImago Journal Rankings: 2.051
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhong, Hen_HK
dc.contributor.authorHung, YSen_HK
dc.date.accessioned2010-09-06T06:56:33Z-
dc.date.available2010-09-06T06:56:33Z-
dc.date.issued2006en_HK
dc.identifier.citationPattern Recognition, 2006, v. 39 n. 9, p. 1672-1678en_HK
dc.identifier.issn0031-3203en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73973-
dc.description.abstractThis paper describes a new method for self-calibration of camera with constant internal parameters under circular motion, using one sequence and two images captured with different camera orientations. Unlike the previous method, in which three circular motion sequences are needed with known motion, the new method computes the rotation angles and the projective reconstructions of the sequence and the images with circular constraint enforced, which is called a circular projective reconstruction, using a factorization-based method. It is then shown that the images of the circular points of each circular projective reconstruction can be readily obtained. Subsequently, the image of the absolute conic and the calibration matrix of the camera can be determined. Experiments on both synthetic and real image sequence are given, showing the accuracy and robustness of the new algorithm. © 2006 Pattern Recognition Society.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pren_HK
dc.relation.ispartofPattern Recognitionen_HK
dc.subjectCircular motionen_HK
dc.subjectCircular projective reconstructionen_HK
dc.subjectSelf-calibrationen_HK
dc.titleSelf-calibration from one circular motion sequence and two imagesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0031-3203&volume=39 No 9&spage=1672&epage=1678&date=2006&atitle=Self-calibration+from+one+circular+motion+sequence+and+two+imagesen_HK
dc.identifier.emailHung, YS:yshung@eee.hku.hken_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.patcog.2005.12.016en_HK
dc.identifier.scopuseid_2-s2.0-33745008422en_HK
dc.identifier.hkuros134077en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33745008422&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume39en_HK
dc.identifier.issue9en_HK
dc.identifier.spage1672en_HK
dc.identifier.epage1678en_HK
dc.identifier.isiWOS:000239050200010-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridZhong, H=16178741200en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK

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