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dc.contributor.authorKitanovski, Vlado
dc.contributor.authorHardeberg, Jon Yngve
dc.description.abstractIn this paper, we evaluate the quality of reconstruction i.e. relighting from images obtained by a newly developed multispectral reflectance transformation imaging (MS-RTI) system. The captured MS-RTI images are of objects with different translucency and color. We use the most common methods for relighting the objects: polynomial texture mapping (PTM) and hemispherical harmonics (HSH), as well as the recent discrete model decomposition (DMD). The results show that all three models can reconstruct the images of translucent materials, with the reconstruction error varying with translucency but still in the range of what has been reported for other non-translucent materials. DMD relighted images are marginally better for the most transparent objects, while HSH- and PTM- relighted images appear to be better for the opaquer objects. The estimation of the surface normals of highly translucent objects using photometric stereo is not very accurate. Utilizing the peak of the fitted angular reflectance field, the relighting models, especially PTM, can provide more accurate estimation of the surface normals.en_US
dc.publisherSociety for Imaging Science and Technologyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleObjective evaluation of relighting models on translucent materials from multispectral RTI imagesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.source.journalIS&T International Symposium on Electronic Imaging Science and Technologyen_US

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal