Selective BRDFs for High Fidelity Rendering

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dc.contributor.authorBradley, Timen_US
dc.contributor.authorDebattista, Kurten_US
dc.contributor.authorBashford-Rogers, Thomasen_US
dc.contributor.authorHarvey, Carloen_US
dc.contributor.authorDoukakis, Stratosen_US
dc.contributor.authorChalmers, Alanen_US
dc.contributor.editorCagatay Turkay and Tao Ruan Wanen_US
dc.date.accessioned2016-09-15T09:05:53Z
dc.date.available2016-09-15T09:05:53Z
dc.date.issued2016
dc.description.abstractHigh fidelity rendering systems rely on accurate material representations to produce a realistic visual appearance. However, these accurate models can be slow to evaluate. This work presents an approach for approximating these high accuracy reflectance models with faster, less complicated functions in regions of an image which possess low visual importance. A subjective rating experiment was conducted in which thirty participants were asked to assess the similarity of scenes rendered with low quality reflectance models, a high quality data-driven model and saliency based hybrids of those images. In two out of the three scenes that were evaluated significant differences were not found between the hybrid and reference images. This implies that in less visually salient regions of an image computational gains can be achieved by approximating computationally expensive materials with simpler analytic models.en_US
dc.description.sectionheadersImage Based and Lighthing Techniques
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20161297
dc.identifier.isbn978-3-03868-022-2
dc.identifier.issn-
dc.identifier.pages57-64
dc.identifier.urihttps://doi.org/10.2312/cgvc.20161297
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cgvc20161297
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectRendering
dc.subjectReflectance Modelling
dc.titleSelective BRDFs for High Fidelity Renderingen_US
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