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dc.contributor.authorLambers, Martin
dc.contributor.authorSommerhoff, Hendrik
dc.contributor.authorKolb, Andreas
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-05-10T10:22:49Z-
dc.date.available2019-05-10T10:22:49Z-
dc.date.issued2018
dc.identifier.citationWSCG 2018: poster papers proceedings: 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 27-32.en
dc.identifier.isbn978-80-86943-42-8
dc.identifier.issn2464-4617
dc.identifier.uriwscg.zcu.cz/WSCG2018/!!_CSRN-2803.pdf
dc.identifier.urihttp://hdl.handle.net/11025/34634
dc.description.abstractRendering images with lens distortion that matches real cameras requires a camera model that allows calibration of relevant parameters based on real imagery. This requirement is not fulfilled for camera models typically used in the field of Computer Graphics. In this paper, we present two approaches to integrate realistic lens distortions effects into any graphics pipeline. Both approaches are based on the most widely used camera model in Computer Vision, and thus can reproduce the behavior of real calibrated cameras. The advantages and drawbacks of the two approaches are compared, and both are verified by recovering rendering parameters through a calibration performed on rendered images.en
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG 2018: poster papers proceedingsen
dc.rights© Václav Skala - Union Agencycs
dc.subjectnarušení objektivucs
dc.subjectkalibrace kamerycs
dc.subjectmodel kamerycs
dc.subjectOpenCVcs
dc.titleRealistic lens distortion renderingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedlens distortionen
dc.subject.translatedcamera calibrationen
dc.subject.translatedcamera modelen
dc.subject.translatedOpenCVen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2018.2803.4
dc.type.statusPeer-revieweden
Appears in Collections:WSCG 2018: Poster Papers Proceedings

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