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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.accessioned2019-04-24T14:43:30Z
dc.date.available2019-04-24T14:43:30Z
dc.date.created2019-04-11T12:11:24Z
dc.date.issued2019
dc.identifier.isbn978-3-030-13939-1
dc.identifier.urihttp://hdl.handle.net/11250/2595317
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.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.relation.ispartofLecture Notes in Computer Science
dc.titleOn the Acquisition and Reproduction of Material Appearancenb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber12nb_NO
dc.source.volume11418.nb_NO
dc.source.issue11418nb_NO
dc.identifier.doi10.1007/978-3-030-13940-7_3
dc.identifier.cristin1691592
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [Lecture Notes in Computer Science] Locked until 20.2.2020 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-13940-7_3nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint


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