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Conference Paper: EVP-based multiple-view triangulation

TitleEVP-based multiple-view triangulation
Authors
KeywordsBelong to
Computational time
Convex programming
Eigenvalue problem
Multiple-view
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, v. 6455 pt. 3, p. 109-118 How to Cite?
AbstractThis paper addresses multiple-view L2 triangulation by proposing a new method based on eigenvalue problems (EVPs), which belong to the class of convex programming. The proposed method provides a candidate of the sought 3D point and a straightforward condition for establishing its optimality, which also yields a guaranteed range for the optimal cost of the triangulation problem in case of non-optimality. The proposed method is illustrated through some well-known examples with real data, for which the provided candidate 3D point is always optimal. These examples also show that the computational time of the proposed method is indeed small and competitive with existing approaches. © 2010 Springer-Verlag.
DescriptionLNCS v. 6455 has title: Advances in visual computing : 6th international symposium, ISVC 2010
Persistent Identifierhttp://hdl.handle.net/10722/135867
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorChesi, Gen_HK
dc.contributor.authorHung, YSen_HK
dc.date.accessioned2011-07-27T01:49:45Z-
dc.date.available2011-07-27T01:49:45Z-
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, v. 6455 pt. 3, p. 109-118en_HK
dc.identifier.isbn9783642172762-
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/135867-
dc.descriptionLNCS v. 6455 has title: Advances in visual computing : 6th international symposium, ISVC 2010-
dc.description.abstractThis paper addresses multiple-view L2 triangulation by proposing a new method based on eigenvalue problems (EVPs), which belong to the class of convex programming. The proposed method provides a candidate of the sought 3D point and a straightforward condition for establishing its optimality, which also yields a guaranteed range for the optimal cost of the triangulation problem in case of non-optimality. The proposed method is illustrated through some well-known examples with real data, for which the provided candidate 3D point is always optimal. These examples also show that the computational time of the proposed method is indeed small and competitive with existing approaches. © 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.subjectBelong to-
dc.subjectComputational time-
dc.subjectConvex programming-
dc.subjectEigenvalue problem-
dc.subjectMultiple-view-
dc.titleEVP-based multiple-view triangulationen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChesi, G: chesi@eee.hku.hken_HK
dc.identifier.emailHung, YS: yshung@eee.hku.hken_HK
dc.identifier.authorityChesi, G=rp00100en_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-17277-9_12en_HK
dc.identifier.scopuseid_2-s2.0-78650788343en_HK
dc.identifier.hkuros187541en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78650788343&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume6455en_HK
dc.identifier.issuept. 3en_HK
dc.identifier.spage109en_HK
dc.identifier.epage118en_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, v. 6455 pt. 3, p. 109-118-
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.scopusauthoridChesi, G=7006328614en_HK

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