Robust multi-view correspondence of noisy 2D points using relaxation

Cited 1 time in webofscience Cited 0 time in scopus
  • Hit : 357
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorLee, DHko
dc.contributor.authorJung, SKko
dc.contributor.authorWohn, Kwang-Yunko
dc.date.accessioned2013-03-02T16:58:36Z-
dc.date.available2013-03-02T16:58:36Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2000-04-
dc.identifier.citationELECTRONICS LETTERS, v.36, no.8, pp.719 - 720-
dc.identifier.issn0013-5194-
dc.identifier.urihttp://hdl.handle.net/10203/74575-
dc.description.abstractAn efficient ghost removal algorithm for reliably extracting correspondence information for 2D points from several views using epipolar constraints is proposed. The point matching relations are modelled using a weighted k-partite graph and a globally convergent iterative algorithm is used to extract reliable maximum cliques from the graph using probabilistic relaxation labelling. Experimental results show the effectiveness of the proposed method.-
dc.languageEnglish-
dc.publisherIEE-INST ELEC ENG-
dc.titleRobust multi-view correspondence of noisy 2D points using relaxation-
dc.typeArticle-
dc.identifier.wosid000086845500017-
dc.identifier.scopusid2-s2.0-0033885671-
dc.type.rimsART-
dc.citation.volume36-
dc.citation.issue8-
dc.citation.beginningpage719-
dc.citation.endingpage720-
dc.citation.publicationnameELECTRONICS LETTERS-
dc.contributor.localauthorWohn, Kwang-Yun-
dc.contributor.nonIdAuthorLee, DH-
dc.contributor.nonIdAuthorJung, SK-
dc.type.journalArticleArticle-
Appears in Collection
GCT-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 1 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0