Semi-metric space: A new approach to treat orthogonality and parallelism

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 380
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKim, JSko
dc.contributor.authorKweon, In-Soko
dc.date.accessioned2013-03-07T18:19:32Z-
dc.date.available2013-03-07T18:19:32Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2006-
dc.identifier.citationCOMPUTER VISION - ACCV 2006, PT I BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.3851, pp.529 - 538-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10203/90909-
dc.description.abstractWe propose a new method to recover 3D structures of artificial objects from scene pictures using orthogonality and parallelism. A new transformation group, '' semi-metric space,'' is defined to describe the scenes of artificial objects consisting of orthogonal and parallel line features. A metric invariant called conic dual to the circular points has a simple diagonal form in the semi-metric space. Furthermore, under some assumptions, the metric reconstruction is possible using some affine properties. The algorithms are verified with real images captured with a camera in a commercial mobile phone.-
dc.languageEnglish-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.subjectCAMERA CALIBRATION-
dc.titleSemi-metric space: A new approach to treat orthogonality and parallelism-
dc.typeArticle-
dc.identifier.wosid000235772300054-
dc.identifier.scopusid2-s2.0-33744955827-
dc.type.rimsART-
dc.citation.volume3851-
dc.citation.beginningpage529-
dc.citation.endingpage538-
dc.citation.publicationnameCOMPUTER VISION - ACCV 2006, PT I BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE-
dc.contributor.localauthorKweon, In-So-
dc.contributor.nonIdAuthorKim, JS-
dc.type.journalArticleArticle; Proceedings Paper-
dc.subject.keywordPlusCAMERA CALIBRATION-
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0