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dc.contributor.authorGuarnera, Giuseppe Claudio
dc.contributor.authorBianco, Simone
dc.contributor.authorSchettini, Raimondo
dc.date.accessioned2019-01-16T12:23:01Z
dc.date.available2019-01-16T12:23:01Z
dc.date.created2018-05-23T12:07:05Z
dc.date.issued2018
dc.identifier.citationComputer graphics forum (Print). 2018, .nb_NO
dc.identifier.issn0167-7055
dc.identifier.urihttp://hdl.handle.net/11250/2580873
dc.description.abstractWe present a simple and effective technique for absolute colorimetric camera characterization, invariant to changes in exposure/aperture and scene irradiance, suitable in a wide range of applications including image‐based reflectance measurements, spectral pre‐filtering and spectral upsampling for rendering, to improve colour accuracy in high dynamic range imaging. Our method requires a limited number of acquisitions, an off‐the‐shelf target and a commonly available projector, used as a controllable light source, other than the reflected radiance to be known. The characterized camera can be effectively used as a 2D tele‐colorimeter, providing the user with an accurate estimate of the distribution of luminance and chromaticity in a scene, without requiring explicit knowledge of the incident lighting power spectra. We validate the approach by comparing our estimated absolute tristimulus values (XYZ data in urn:x-wiley:01677055:media:cgf13393:cgf13393-math-0001) with the measurements of a professional 2D tele‐colorimeter, for a set of scenes with complex geometry, spatially varying reflectance and light sources with very different spectral power distribution.nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleTurning a Digital Camera into an Absolute 2D Tele‐Colorimeternb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber14nb_NO
dc.source.journalComputer graphics forum (Print)nb_NO
dc.identifier.doi10.1111/cgf.13393
dc.identifier.cristin1586196
dc.description.localcodeLocked until 10.4.2019 due to copyright restrictions. This is the peer reviewed version of an article, which has been published in final form at [https://doi.org/10.1111/cgf.13393]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedfalse
cristin.fulltextpostprint
cristin.qualitycode2


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