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Conference Paper: Projective reconstruction of general 3D planar curves from uncalibrated cameras

TitleProjective reconstruction of general 3D planar curves from uncalibrated cameras
Authors
Zhang, XBTang, AWKHung, YS
Keywords3D reconstruction
Euclidean distance
Homographies
Planar curves
Point correspondence
Issue Date2010
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 6th International Symposium on Visual Computing (ISVC 2010), Las Vegas, NV., 29 november-1 December 2010. In Lecture Notes in Computer Science, 2010, v. 6454, p. 21-30 How to Cite?
DOI: http://dx.doi.org/10.1007/978-3-642-17274-8_3
AbstractIn this paper, we propose a new 3D reconstruction method for general 3D planar curves based on curve correspondences on two views. By fitting the measured and transferred points using spline curves and minimizing the 2D Euclidean distance from measured and transferred points to fitted curves, we obtained an optimum homography which relates the curves across two views. Once two or more homographies are computed, 3D projective reconstruction of those curves can be readily performed. The method offers the flexibility to reconstruct 3D planar curves without the need of point-to-point correspondences, and deals with curve occlusions automatically. © 2010 Springer-Verlag.
DescriptionLNCS v. 6454 is Proceedings of the 6th International Symposium, ISVC 2010, pt. 2
Persistent Identifierhttp://hdl.handle.net/10722/136452
ISSN
0302-9743
2020 SCImago Journal Rankings: 0.249
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorZhang, XBen_HK
dc.contributor.authorTang, AWKen_HK
dc.contributor.authorHung, YSen_HK
dc.date.accessioned2011-07-27T02:16:27Z-
dc.date.available2011-07-27T02:16:27Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 6th International Symposium on Visual Computing (ISVC 2010), Las Vegas, NV., 29 november-1 December 2010. In Lecture Notes in Computer Science, 2010, v. 6454, p. 21-30en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/136452-
dc.descriptionLNCS v. 6454 is Proceedings of the 6th International Symposium, ISVC 2010, pt. 2-
dc.description.abstractIn this paper, we propose a new 3D reconstruction method for general 3D planar curves based on curve correspondences on two views. By fitting the measured and transferred points using spline curves and minimizing the 2D Euclidean distance from measured and transferred points to fitted curves, we obtained an optimum homography which relates the curves across two views. Once two or more homographies are computed, 3D projective reconstruction of those curves can be readily performed. The method offers the flexibility to reconstruct 3D planar curves without the need of point-to-point correspondences, and deals with curve occlusions automatically. © 2010 Springer-Verlag.en_HK
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Scienceen_HK
dc.rightsThe original publication is available at www.springerlink.com-
dc.subject3D reconstruction-
dc.subjectEuclidean distance-
dc.subjectHomographies-
dc.subjectPlanar curves-
dc.subjectPoint correspondence-
dc.titleProjective reconstruction of general 3D planar curves from uncalibrated camerasen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailTang, AWK:wktang@hku.hken_HK
dc.identifier.emailHung, YS:yshung@eee.hku.hken_HK
dc.identifier.authorityTang, AWK=rp00175en_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-17274-8_3en_HK
dc.identifier.scopuseid_2-s2.0-78650800550en_HK
dc.identifier.hkuros187906en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78650800550&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume6454en_HK
dc.identifier.spage21en_HK
dc.identifier.epage30en_HK
dc.publisher.placeGermanyen_HK
dc.description.otherThe 6th International Symposium on Visual Computing (ISVC 2010), Las Vegas, NV., 29 november-1 December 2010. In Lecture Notes in Computer Science, 2010, v. 6454, p. 21-30-
dc.identifier.scopusauthoridZhang, XB=36803176300en_HK
dc.identifier.scopusauthoridTang, AWK=36790135500en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.issnl0302-9743-

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