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Article: A column-space approach to projective reconstruction

TitleA column-space approach to projective reconstruction
Authors
KeywordsFactorization
Multiple views
Projective reconstruction
Structure from motion
Subspace method
Issue Date2006
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/cviu
Citation
Computer Vision And Image Understanding, 2006, v. 101 n. 3, p. 166-176 How to Cite?
AbstractThe problem of projective reconstruction for multiple views is considered using a factorization method. A common difficulty of existing formulations of the factorization problem is that they do not adequately constrain the depth parameters thus allowing the algorithm to converge to 'view-deficient' solutions with entire views being suppressed. We propose to include a variance measure with an adaptive weighting parameter in the formulation of the factorization problem to overcome this difficulty. Algorithmic solutions with guaranteed convergence are provided to perform factorization under the condition that there may be missing data in the images. © 2005 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/73892
ISSN
2015 Impact Factor: 2.134
2015 SCImago Journal Rankings: 1.490
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorTang, WKen_HK
dc.contributor.authorHung, YSen_HK
dc.date.accessioned2010-09-06T06:55:46Z-
dc.date.available2010-09-06T06:55:46Z-
dc.date.issued2006en_HK
dc.identifier.citationComputer Vision And Image Understanding, 2006, v. 101 n. 3, p. 166-176en_HK
dc.identifier.issn1077-3142en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73892-
dc.description.abstractThe problem of projective reconstruction for multiple views is considered using a factorization method. A common difficulty of existing formulations of the factorization problem is that they do not adequately constrain the depth parameters thus allowing the algorithm to converge to 'view-deficient' solutions with entire views being suppressed. We propose to include a variance measure with an adaptive weighting parameter in the formulation of the factorization problem to overcome this difficulty. Algorithmic solutions with guaranteed convergence are provided to perform factorization under the condition that there may be missing data in the images. © 2005 Elsevier Inc. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/cviuen_HK
dc.relation.ispartofComputer Vision and Image Understandingen_HK
dc.subjectFactorizationen_HK
dc.subjectMultiple viewsen_HK
dc.subjectProjective reconstructionen_HK
dc.subjectStructure from motionen_HK
dc.subjectSubspace methoden_HK
dc.titleA column-space approach to projective reconstructionen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1077-3142&volume=101 issue 3&spage=166&epage=176&date=2006&atitle=A+column-space+approach+to+projective+reconstructionen_HK
dc.identifier.emailTang, WK:wktang@hku.hken_HK
dc.identifier.emailHung, YS:yshung@eee.hku.hken_HK
dc.identifier.authorityTang, WK=rp00175en_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.cviu.2005.07.007en_HK
dc.identifier.scopuseid_2-s2.0-28844501426en_HK
dc.identifier.hkuros117236en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-28844501426&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume101en_HK
dc.identifier.issue3en_HK
dc.identifier.spage166en_HK
dc.identifier.epage176en_HK
dc.identifier.isiWOS:000234453100003-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridTang, WK=36790135500en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK

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