File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Projective reconstruction from multiple views with minimization of 2D reprojection error

TitleProjective reconstruction from multiple views with minimization of 2D reprojection error
Authors
KeywordsFactorization method
Multiple views
Projective bundle adjustment
Projective reconstruction
Structure and motion
Sub-space method
Issue Date2006
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0920-5691
Citation
International Journal Of Computer Vision, 2006, v. 66 n. 3, p. 305-317 How to Cite?
AbstractThe problem of projective reconstruction by minimization of the 2D reprojection error in multiple images is considered. Although bundle adjustment techniques can be used to minimize the 2D reprojection error, these methods being based on nonlinear optimization algorithms require a good starting point. Quasi-linear algorithms with better global convergence properties can be used to generate an initial solution before submitting it to bundle adjustment for refinement. In this paper, we propose a factorization-based method to integrate the initial search as well as the bundle adjustment into a single algorithm consisting of a sequence of weighted least-squares problems, in which a control parameter is initially set to a relaxed state to allow the search of a good initial solution, and subsequently tightened up to force the final solution to approach a minimum point of the 2D reprojection error. The proposed algorithm is guaranteed to converge. Our method readily handles images with missing points. © 2006 Springer Science + Business Media, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/73842
ISSN
2015 Impact Factor: 4.27
2015 SCImago Journal Rankings: 5.633
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorHung, YSen_HK
dc.contributor.authorTang, WKen_HK
dc.date.accessioned2010-09-06T06:55:17Z-
dc.date.available2010-09-06T06:55:17Z-
dc.date.issued2006en_HK
dc.identifier.citationInternational Journal Of Computer Vision, 2006, v. 66 n. 3, p. 305-317en_HK
dc.identifier.issn0920-5691en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73842-
dc.description.abstractThe problem of projective reconstruction by minimization of the 2D reprojection error in multiple images is considered. Although bundle adjustment techniques can be used to minimize the 2D reprojection error, these methods being based on nonlinear optimization algorithms require a good starting point. Quasi-linear algorithms with better global convergence properties can be used to generate an initial solution before submitting it to bundle adjustment for refinement. In this paper, we propose a factorization-based method to integrate the initial search as well as the bundle adjustment into a single algorithm consisting of a sequence of weighted least-squares problems, in which a control parameter is initially set to a relaxed state to allow the search of a good initial solution, and subsequently tightened up to force the final solution to approach a minimum point of the 2D reprojection error. The proposed algorithm is guaranteed to converge. Our method readily handles images with missing points. © 2006 Springer Science + Business Media, Inc.en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0920-5691en_HK
dc.relation.ispartofInternational Journal of Computer Visionen_HK
dc.subjectFactorization methoden_HK
dc.subjectMultiple viewsen_HK
dc.subjectProjective bundle adjustmenten_HK
dc.subjectProjective reconstructionen_HK
dc.subjectStructure and motionen_HK
dc.subjectSub-space methoden_HK
dc.titleProjective reconstruction from multiple views with minimization of 2D reprojection erroren_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0920-5691&volume=66 No 3&spage=305&epage=317&date=2006&atitle=Projective+Reconstruction+from+Multiple+Views+with+Minimization+of+2D+Reprojection+Erroren_HK
dc.identifier.emailHung, YS:yshung@eee.hku.hken_HK
dc.identifier.emailTang, WK:wktang@hku.hken_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.identifier.authorityTang, WK=rp00175en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11263-005-3675-0en_HK
dc.identifier.scopuseid_2-s2.0-33644558043en_HK
dc.identifier.hkuros117235en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33644558043&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume66en_HK
dc.identifier.issue3en_HK
dc.identifier.spage305en_HK
dc.identifier.epage317en_HK
dc.identifier.isiWOS:000236475400005-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.scopusauthoridTang, WK=36790135500en_HK
dc.identifier.citeulike4320093-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats