Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/122931
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dc.contributor.authorChojnacki, W.-
dc.contributor.authorSzpak, Z.L.-
dc.contributor.editorJawahar, C.V.-
dc.contributor.editorLi, H.-
dc.contributor.editorMori, G.-
dc.contributor.editorSchindler, K.-
dc.date.issued2019-
dc.identifier.citationLecture Notes in Artificial Intelligence, 2019 / Jawahar, C.V., Li, H., Mori, G., Schindler, K. (ed./s), vol.11361, pp.659-675-
dc.identifier.isbn9783030208868-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://hdl.handle.net/2440/122931-
dc.description.abstractWe reveal a complete set of constraints that need to be imposed on a set of 3×3 matrices to ensure that the matrices represent genuine homographies associated with multiple planes between two views. We also show how to exploit the constraints to obtain more accurate estimates of homography matrices between two views. Our study resolves a long-standing research question and provides a fresh perspective and a more in-depth understanding of the multiple homography estimation task.-
dc.description.statementofresponsibilityWojciech Chojnacki and Zygmunt L. Szpak-
dc.language.isoen-
dc.publisherSpringer-
dc.relation.ispartofseriesLecture Notes in Computer Science; 11361-
dc.rights© Springer Nature Switzerland AG 2019-
dc.source.urihttps://link.springer.com/book/10.1007/978-3-030-20887-5-
dc.subjectMultiple homographies; Consistency constraints; Latent variables; Parameter estimation; Scale invariance; Maximum likelihood-
dc.titleFull explicit consistency constraints in uncalibrated multiple homography estimation-
dc.typeConference paper-
dc.contributor.conferenceAsian Conference on Computer Vision (ACCV) (2 Dec 2018 - 6 Dec 2018 : Perth, Western Australia)-
dc.identifier.doi10.1007/978-3-030-20887-5_41-
dc.publisher.placeCham, Switzerland-
dc.relation.grantARC-
pubs.publication-statusPublished-
dc.identifier.orcidChojnacki, W. [0000-0001-7782-1956]-
dc.identifier.orcidSzpak, Z.L. [0000-0002-0694-4622]-
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