Show simple item record

dc.contributor.authorBrunton, Alan
dc.contributor.authorArikan, Can Ates
dc.contributor.authorTanksale, Tejas Madan
dc.contributor.authorUrban, Philipp
dc.date.accessioned2019-04-01T12:13:06Z
dc.date.available2019-04-01T12:13:06Z
dc.date.created2019-03-20T13:09:39Z
dc.date.issued2018
dc.identifier.citationACM Transactions on Graphics. 2018, 37 (4), .nb_NO
dc.identifier.issn0730-0301
dc.identifier.urihttp://hdl.handle.net/11250/2592720
dc.description.abstractWe present an efficient and scalable pipeline for fabricating full-colored objects with spatially-varying translucency from practical and accessible input data via multi-material 3D printing. Observing that the costs associated with BSSRDF measurement and processing are high, the range of 3D printable BSSRDFs are severely limited, and that the human visual system relies only on simple high-level cues to perceive translucency, we propose a method based on reproducing perceptual translucency cues. The input to our pipeline is an RGBA signal defined on the surface of an object, making our approach accessible and practical for designers. We propose a framework for extending standard color management and profiling to combined color and translucency management using a gamut correspondence strategy we call opaque relative processing. We present an efficient streaming method to compute voxel-level material arrangements, achieving both realistic reproduction of measured translucent materials and artistic effects involving multiple fully or partially transparent geometries.nb_NO
dc.language.isoengnb_NO
dc.publisherAssociation for Computing Machinery (ACM)nb_NO
dc.title3D Printing Spatially-varying Color and Translucencynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber13nb_NO
dc.source.volume37nb_NO
dc.source.journalACM Transactions on Graphicsnb_NO
dc.source.issue4nb_NO
dc.identifier.doi10.1145/3197517.3201349
dc.identifier.cristin1686317
dc.description.localcode© ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published here, https://doi.org/10.1145/3197517.3201349nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode2


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record