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dc.contributor.authorSole, Aditya Suneel
dc.contributor.authorGigilashvili, Davit
dc.contributor.authorMidtfjord, Helene B.
dc.contributor.authorGuarnera, Dar'ya
dc.contributor.authorGuarnera, Giuseppe Claudio
dc.contributor.authorThomas, Jean-Baptiste
dc.contributor.authorHardeberg, Jon Yngve
dc.date.accessioned2020-05-13T13:28:47Z
dc.date.available2020-05-13T13:28:47Z
dc.date.created2020-01-31T15:57:46Z
dc.date.issued2019
dc.identifier.isbn978-3-030-13939-1
dc.identifier.urihttps://hdl.handle.net/11250/2654299
dc.description.abstractCurrently, new technologies (e.g. 2.5D and 3D printing processes) progress at a fast pace in their capacity to (re)produce an ever-broader range of visual aspects. At the same time, a huge research effort is needed to achieve a comprehensive scientific model for the visual sensations we experience in front of an object in its surrounding. Thanks to the projects MUVApp: Measuring and Understanding Visual Appearance funded by the Research Council of Norway, and ApPEARS: Appearance Printing—European Advanced Research School recently granted by the European Union, significant progress is being made on various topics related with acquisition and reproduction of material appearance, and also on the very understanding of appearance. This paper presents recent, ongoing, and planned research in this exciting field, with a specific emphasis on the MUVApp project.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofComputational Color Imaging, 7th International Workshop, CCIW 2019
dc.titleOn the Acquisition and Reproduction of Material Appearanceen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber26-38en_US
dc.identifier.doi10.1007/978-3-030-13940-7_3
dc.identifier.cristin1788723
dc.description.localcode"This is a post-peer-review, pre-copyedit version of an article. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-13940-7_3en_US
cristin.ispublishedtrue
cristin.fulltextpostprint


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