Variable k-buffer using Importance Maps

dc.contributor.authorVasilakis, Andreas-Alexandrosen_US
dc.contributor.authorVardis, Konstantinosen_US
dc.contributor.authorPapaioannou, Georgiosen_US
dc.contributor.authorMoustakas, Konstantinosen_US
dc.contributor.editorAdrien Peytavie and Carles Boschen_US
dc.date.accessioned2017-04-22T16:47:00Z
dc.date.available2017-04-22T16:47:00Z
dc.date.issued2017
dc.description.abstractSuccessfully predicting visual attention can significantly improve many aspects of computer graphics and games. Despite the thorough investigation in this area, selective rendering has not addressed so far fragment visibility determination problems. To this end, we present the first ''selective multi-fragment rendering'' solution that alters the classic k-buffer construction procedure from a fixed-k to a variable-k per-pixel fragment allocation guided by an importance-driven model. Given a fixed memory budget, the idea is to allocate more fragment layers in parts of the image that need them most or contribute more significantly to the visual result. An importance map, dynamically estimated per frame based on several criteria, is used for the distribution of the fragment layers across the image. We illustrate the effectiveness and quality superiority of our approach in comparison to previous methods when performing order-independent transparency rendering in various, high depth-complexity, scenarios.en_US
dc.description.sectionheadersLighting and Rendering
dc.description.seriesinformationEG 2017 - Short Papers
dc.identifier.doi10.2312/egsh.20171005
dc.identifier.issn1017-4656
dc.identifier.pages21-24
dc.identifier.urihttps://doi.org/10.2312/egsh.20171005
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egsh20171005
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.7 [Computer Graphics]
dc.subjectThree Dimensional Graphics and Realism
dc.subjectVisible surface algorithms
dc.subjectI.3.6 [Computer Graphics]
dc.subjectMethodology and Techniques
dc.subjectGraphics data structures
dc.titleVariable k-buffer using Importance Mapsen_US
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