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dc.date.accessioned2024-01-08T17:41:04Z
dc.date.available2024-01-08T17:41:04Z
dc.date.created2023-12-01T14:01:25Z
dc.date.issued2023
dc.identifier.citationBråtelund, Martin Rydell, Felix . Compatibility of Fundamental Matrices for Complete Viewing Graphs. IEEE International Conference on Computer Vision (ICCV). 2023, 3328-3336
dc.identifier.urihttp://hdl.handle.net/10852/106624
dc.description.abstractThis paper studies the problem of recovering cameras from a set of fundamental matrices. A set of fundamental matrices is said to be compatible if a set of cameras exists for which they are the fundamental matrices. We focus on the complete graph, where fundamental matrices for each pair of cameras are given. Previous work has established necessary and sufficient conditions for compatibility as rank and eigenvalue conditions on the n-view fundamental matrix obtained by concatenating the individual fundamental matrices. In this work, we show that the eigenvalue condition is redundant in the generic and collinear cases. We provide explicit homogeneous polynomials that describe necessary and sufficient conditions for compatibility in terms of the fundamental matrices and their epipoles. In this direction, we find that quadruple-wise compatibility is enough to ensure global compatibility for any number of cameras. We demonstrate that for four cameras, compatibility is generically described by triple-wise conditions and one additional equation involving all fundamental matrices.
dc.languageEN
dc.titleCompatibility of Fundamental Matrices for Complete Viewing Graphs
dc.title.alternativeENEngelskEnglishCompatibility of Fundamental Matrices for Complete Viewing Graphs
dc.typeJournal article
dc.creator.authorBråtelund, Martin
dc.creator.authorRydell, Felix
cristin.unitcode185,15,13,0
cristin.unitnameMatematisk institutt
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2207456
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE International Conference on Computer Vision (ICCV)&rft.volume=&rft.spage=3328&rft.date=2023
dc.identifier.jtitleIEEE International Conference on Computer Vision (ICCV)
dc.identifier.startpage3328
dc.identifier.endpage3336
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1550-5499
dc.type.versionPublishedVersion


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