Scalable Real-Time Shadows using Clustering and Metric Trees

dc.contributor.authorDeves, Françoisen_US
dc.contributor.authorMora, Frédéricen_US
dc.contributor.authorAveneau, Lilianen_US
dc.contributor.authorGhazanfarpour, Djamchiden_US
dc.contributor.editorJakob, Wenzel and Hachisuka, Toshiyaen_US
dc.date.accessioned2018-07-01T07:32:57Z
dc.date.available2018-07-01T07:32:57Z
dc.date.issued2018
dc.description.abstractReal-time shadow algorithms based on geometry generally produce high quality shadows. Recent works have considerably improved their efficiency. However, scalability remains an issue because these methods strongly depend on the geometric complexity. This paper focuses on this problem. We present a new real-time shadow algorithm for non-deformable models that scales the geometric complexity. Our method groups triangles into clusters by precomputing bounding spheres or bounding capsules (line-swept spheres). At each frame, we build a ternary metric tree to partition the spheres and capsules according to their apparent distance from the light. Then, this tree is used as an acceleration data structure to determine the visibility of the light for each image point. While clustering allows to scale down the geometric complexity, metric trees allow to encode the bounding volumes of the clusters in a hierarchical data structure. Our experiments show that our approach remains efficient, including with models with over 70 million triangles.en_US
dc.description.sectionheadersReal-time Rendering
dc.description.seriesinformationEurographics Symposium on Rendering - Experimental Ideas & Implementations
dc.identifier.doi10.2312/sre.20181175
dc.identifier.isbn978-3-03868-068-0
dc.identifier.issn1727-3463
dc.identifier.pages83-93
dc.identifier.urihttps://doi.org/10.2312/sre.20181175
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/sre20181175
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectRendering
dc.subjectVisibility
dc.titleScalable Real-Time Shadows using Clustering and Metric Treesen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
083-093.pdf
Size:
5.26 MB
Format:
Adobe Portable Document Format