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Conference Paper: 3D curves reconstruction from multiple images

Title3D curves reconstruction from multiple images
Authors
Keywords3D curve reconstruction
Partial occlusion
Uncal-ibrated cameras
Issue Date2010
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001512
Citation
The 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia, 1-3 December 2010. In Proceedings of DICTA, 2010, p. 462-467 How to Cite?
AbstractIn this paper, we propose a new approach for reconstructing 3D curves from a sequence of 2D images taken by uncalibrated cameras. A curve in 3D space is represented by a sequence of 3D points sampled along the curve, and the 3D points are reconstructed by minimizing the distances from their projections to the measured 2D curves on different images (i.e., 2D curve reprojection error). The minimization problem is solved by an iterative algorithm which is guaranteed to converge to a (local) minimum of the 2D reprojection error. Without requiring calibrated cameras or additional point features, our method can reconstruct multiple 3D curves simultaneously from multiple images and it readily handles images with missing and/or partially occluded curves. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/136451
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorMai, Fen_HK
dc.contributor.authorHung, YSen_HK
dc.date.accessioned2011-07-27T02:16:26Z-
dc.date.available2011-07-27T02:16:26Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia, 1-3 December 2010. In Proceedings of DICTA, 2010, p. 462-467en_HK
dc.identifier.isbn978-0-7695-4271-3-
dc.identifier.urihttp://hdl.handle.net/10722/136451-
dc.description.abstractIn this paper, we propose a new approach for reconstructing 3D curves from a sequence of 2D images taken by uncalibrated cameras. A curve in 3D space is represented by a sequence of 3D points sampled along the curve, and the 3D points are reconstructed by minimizing the distances from their projections to the measured 2D curves on different images (i.e., 2D curve reprojection error). The minimization problem is solved by an iterative algorithm which is guaranteed to converge to a (local) minimum of the 2D reprojection error. Without requiring calibrated cameras or additional point features, our method can reconstruct multiple 3D curves simultaneously from multiple images and it readily handles images with missing and/or partially occluded curves. © 2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001512-
dc.relation.ispartofProceedings of the Digital Image Computing: Techniques and Applications, DICTA 2010en_HK
dc.rightsDigital Image Computing: Techniques and Applications Proceedings. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2010 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.subject3D curve reconstructionen_HK
dc.subjectPartial occlusionen_HK
dc.subjectUncal-ibrated camerasen_HK
dc.title3D curves reconstruction from multiple imagesen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-0-7695-4271-3&volume=&spage=462&epage=467&date=2010&atitle=3D+curves+reconstruction+from+multiple+images-
dc.identifier.emailHung, YS:yshung@eee.hku.hken_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/DICTA.2010.84en_HK
dc.identifier.scopuseid_2-s2.0-79951596249en_HK
dc.identifier.hkuros187903en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79951596249&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage462en_HK
dc.identifier.epage467en_HK
dc.description.otherThe 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia, 1-3 December 2010. In Proceedings of DICTA, 2010, p. 462-467-
dc.identifier.scopusauthoridMai, F=12804393400en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK

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