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Reconstruction of 3D Lines from a Single Axial Catadioptric Image Using Cross-Ratio

dc.contributor.authorPerdigoto, Luis
dc.contributor.authorAraujo, Helder
dc.date.accessioned2025-11-07T17:24:34Z
dc.date.available2025-11-07T17:24:34Z
dc.date.issued2012
dc.description.abstractIt has been shown, in previous work, that the 3D position of a line can be reconstructed from a single image in vision systems that do not possess a single viewpoint. We present a new method that, in a non-central axial catadioptric system, can achieve line spacial reconstruction from 3 or more image points, given the distance ratio of 3 points in the line (a fair assumption in, for example, structured environment with repetitive architectural features). We use cross-ratio as an invariant to constrain the line localization and perform the reconstruction from a set of image points through non-linear optimization. Experimental results are presented.eng
dc.description.sponsorshipHelder Araujo would like to thank the support of project Morfeu– PTDC/EEA-CRO/108348/2008 and project FCT/PTDC/EIAEIA/122454/2010, funded by the Portuguese Science Foundation (FCT) by means of national funds (PIDDAC) and co-funded by the European Fund for Regional Development (FEDER) through COMPETE Operational Programme Competitive Factors (POFC). Luis Perdigoto acknowledges the support of FCT through grant SFRH/BD/50281/2009.
dc.identifier.citationPerdigoto, L., & Araujo, H. (2012, November). Reconstruction of 3D lines from a single axial catadioptric image using cross-ratio. In Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) (pp. 857-860). IEEE.
dc.identifier.isbn978-499064410-9
dc.identifier.urihttp://hdl.handle.net/10400.8/14571
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherIEEE Canada
dc.rights.uriN/A
dc.titleReconstruction of 3D Lines from a Single Axial Catadioptric Image Using Cross-Ratioeng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage860
oaire.citation.startPage857
oaire.citation.title21st International Conference on Pattern Recognition (ICPR 2012)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePerdigoto
person.givenNameLuis
person.identifier.orcid0000-0002-2626-3154
relation.isAuthorOfPublication21974cb3-96e9-4071-bbd1-149f86160821
relation.isAuthorOfPublication.latestForDiscovery21974cb3-96e9-4071-bbd1-149f86160821

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