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dc.contributor.authorMaciel, Anderson*
dc.contributor.authorMeyer, Gary W.*
dc.contributor.authorJohn, Nigel W.*
dc.contributor.authorWalter, Marcelo*
dc.contributor.authorNunes, Augusto L. P.
dc.contributor.authorBaranoski, Gladimir V. G.
dc.date.accessioned2019-01-29T12:55:20Z
dc.date.available2019-01-29T12:55:20Z
dc.date.issued2019-02-27
dc.identifier.citationNunes, A.L.P., Maciel, A., Meyer, G.W., John, N.W., Baranoski, G.V.G., & Walter, M. (2019). Appearance Modeling of Living Human Tissues, Computer Graphics Forum, 38(6), 43-65.en
dc.identifier.doi10.1111/cgf.13604
dc.identifier.urihttp://hdl.handle.net/10034/621828
dc.descriptionThis is the peer reviewed version of the following article: Nunes, A.L.P., Maciel, A., Meyer, G.W., John, N.W., Baranoski, G.V.G., & Walter, M. (2019). Appearance Modeling of Living Human Tissues, Computer Graphics Forum, which has been published in final form at https://doi.org/10.1111/cgf.13604. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archivingen
dc.description.abstractThe visual fidelity of realistic renderings in Computer Graphics depends fundamentally upon how we model the appearance of objects resulting from the interaction between light and matter reaching the eye. In this paper, we survey the research addressing appearance modeling of living human tissue. Among the many classes of natural materials already researched in Computer Graphics, living human tissues such as blood and skin have recently seen an increase in attention from graphics research. There is already an incipient but substantial body of literature on this topic, but we also lack a structured review as presented here. We introduce a classification for the approaches using the four types of human tissues as classifiers. We show a growing trend of solutions that use first principles from Physics and Biology as fundamental knowledge upon which the models are built. The organic quality of visual results provided by these Biophysical approaches is mainly determined by the optical properties of biophysical components interacting with light. Beyond just picture making, these models can be used in predictive simulations, with the potential for impact in many other areas.
dc.language.isoenen
dc.publisherWileyen
dc.relation.urlhttps://www.springer.com/gb/book/9783030062453en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectTexturingen
dc.subjectReflectance modelingen
dc.titleAppearance Modeling of Living Human Tissuesen
dc.typeArticleen
dc.identifier.eissn1467-8659
dc.contributor.departmentFederal Institute of Paraná, Londrina; Universidade Federal do Rio Grande do Sul; University of Minnesota; University of Chester; University of Waterlooen
dc.identifier.journalComputer Graphics Forum
dc.date.accepted2019-01-27
or.grant.openaccessYesen
rioxxterms.funderunfundeden_US
rioxxterms.identifier.projectunfundeden_US
rioxxterms.versionAMen
rioxxterms.licenseref.startdate2020-02-27
refterms.dateFCD2019-01-28T11:33:59Z
refterms.versionFCDAM


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