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dc.contributor.authorTominaga, Shoji
dc.contributor.authorHirai, Keita
dc.contributor.authorHoriuchi, Takahiko
dc.date.accessioned2020-02-04T13:37:57Z
dc.date.available2020-02-04T13:37:57Z
dc.date.created2019-10-31T11:41:43Z
dc.date.issued2019
dc.identifier.citationFinal program and proceedings (Color and Imaging Conference). 2019, 393-398.nb_NO
dc.identifier.issn2166-9635
dc.identifier.urihttp://hdl.handle.net/11250/2639621
dc.description.abstractAn approach is proposed for the reliable appearance reconstruction of fluorescent objects under arbitrary conditions of material and illuminant based on reference geometric factors. First, a large set of spectral images is acquired from a variety of scenes of fluorescent objects paired with a mutual illumination effect under different conditions. The target fluorescent object is constructed using a cube and a flat plate supporting it, and is subsequently illuminated using a directional light source. We produce many target objects of the same size with different fluorescent materials and observe them under different illumination conditions. The observed spectral images are subsequently decomposed into five components, combining the spectral functions and geometric factors. The reference geometric factors are independent of the material, illuminant, and illumination direction change; instead, they are only dependent on object geometries. A reliable estimation method of reference geometric factors is presented using the whole spectral images observed under various conditions. Further, we propose an algorithm for reconstructing a realistic appearance including mutual illumination effect under arbitrary conditions of material, illuminant, and illumination direction. Finally, the reliability of the proposed approach is examined experimentally.nb_NO
dc.language.isoengnb_NO
dc.publisherSociety for Imaging Science and Technologynb_NO
dc.titleAppearance Reconstruction of Fluorescent Objects Based on Reference Geometric Factorsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber393-398nb_NO
dc.source.journalFinal program and proceedings (Color and Imaging Conference)nb_NO
dc.identifier.doi10.2352/issn.2169-2629.2019.27.70
dc.identifier.cristin1742783
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2019 by Society for Imaging Science and Technologynb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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