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Article: Projective reconstruction from line-correspondences in multiple uncalibrated images

TitleProjective reconstruction from line-correspondences in multiple uncalibrated images
Authors
Tang, AWKNg, TPHung, YSLeung, CH
KeywordsLine Correspondence
Line Reconstruction
Multiple Views
Projective Reconstruction
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. 5, p. 889-896 How to Cite?
DOI: http://dx.doi.org/10.1016/j.patcog.2005.10.019
AbstractA new approach is proposed for reconstructing 3D lines and cameras from 2D corresponding lines across multiple uncalibrated views. There is no requirement that the 2D corresponding lines on different images represent the same segment of a 3D line, which may not appear on all images. A 3D line is reconstructed by minimizing a geometric cost function that measures the distance of the reprojected end points of the 3D segment from the measured 2D lines on different images. An algorithmic procedure is provided with guaranteed convergence to a solution where the geometric cost function achieves a (local) minimum. © 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/155314
ISSN
0031-3203
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.732
ISI Accession Number ID
WOS:000236164800012
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorTang, AWKen_US
dc.contributor.authorNg, TPen_US
dc.contributor.authorHung, YSen_US
dc.contributor.authorLeung, CHen_US
dc.date.accessioned2012-08-08T08:32:50Z-
dc.date.available2012-08-08T08:32:50Z-
dc.date.issued2006en_US
dc.identifier.citationPattern Recognition, 2006, v. 39 n. 5, p. 889-896en_US
dc.identifier.issn0031-3203en_US
dc.identifier.urihttp://hdl.handle.net/10722/155314-
dc.description.abstractA new approach is proposed for reconstructing 3D lines and cameras from 2D corresponding lines across multiple uncalibrated views. There is no requirement that the 2D corresponding lines on different images represent the same segment of a 3D line, which may not appear on all images. A 3D line is reconstructed by minimizing a geometric cost function that measures the distance of the reprojected end points of the 3D segment from the measured 2D lines on different images. An algorithmic procedure is provided with guaranteed convergence to a solution where the geometric cost function achieves a (local) minimum. © 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pren_US
dc.relation.ispartofPattern Recognitionen_US
dc.subjectLine Correspondenceen_US
dc.subjectLine Reconstructionen_US
dc.subjectMultiple Viewsen_US
dc.subjectProjective Reconstructionen_US
dc.titleProjective reconstruction from line-correspondences in multiple uncalibrated imagesen_US
dc.typeArticleen_US
dc.identifier.emailTang, AWK:wktang@hku.hken_US
dc.identifier.emailHung, YS:yshung@eee.hku.hken_US
dc.identifier.emailLeung, CH:chleung@eee.hku.hken_US
dc.identifier.authorityTang, AWK=rp00175en_US
dc.identifier.authorityHung, YS=rp00220en_US
dc.identifier.authorityLeung, CH=rp00146en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.patcog.2005.10.019en_US
dc.identifier.scopuseid_2-s2.0-33244458656en_US
dc.identifier.hkuros117237-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33244458656&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume39en_US
dc.identifier.issue5en_US
dc.identifier.spage889en_US
dc.identifier.epage896en_US
dc.identifier.isiWOS:000236164800012-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridTang, AWK=36790135500en_US
dc.identifier.scopusauthoridNg, TP=36799704200en_US
dc.identifier.scopusauthoridHung, YS=8091656200en_US
dc.identifier.scopusauthoridLeung, CH=7402612415en_US
dc.identifier.issnl0031-3203-

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