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dc.contributor.authorEgan, Kevin
dc.contributor.authorDurand, Fredo
dc.contributor.authorRamamoorthi, Ravi
dc.date.accessioned2012-09-20T18:01:43Z
dc.date.available2012-09-20T18:01:43Z
dc.date.issued2011-12
dc.identifier.isbn978-1-4503-0807-6
dc.identifier.urihttp://hdl.handle.net/1721.1/73078
dc.description.abstractAmbient occlusion and directional (spherical harmonic) occlusion have become a staple of production rendering because they capture many visually important qualities of global illumination while being reusable across multiple artistic lighting iterations. However, ray-traced solutions for hemispherical occlusion require many rays per shading point (typically 256-1024) due to the full hemispherical angular domain. Moreover, each ray can be expensive in scenes with moderate to high geometric complexity. However, many nearby rays sample similar areas, and the final occlusion result is often low frequency. We give a frequency analysis of shadow light fields using distant illumination with a general BRDF and normal mapping, allowing us to share ray information even among complex receivers. We also present a new rotationally-invariant filter that easily handles samples spread over a large angular domain. Our method can deliver 4x speed up for scenes that are computationally bound by ray tracing costs.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 0701775)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 0924968)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 1115242)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 1116303)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (PECASE Grant N00014-09-1-0741)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2070781.2024214en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceOther University Web Domainen_US
dc.titlePractical filtering for efficient ray-traced directional occlusionen_US
dc.typeArticleen_US
dc.identifier.citationEgan, Kevin, Frédo Durand, and Ravi Ramamoorthi. “Practical Filtering for Efficient Ray-traced Directional Occlusion.” ACM Transactions on Graphics 30.6 (2011): 1.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorDurand, Fredo
dc.relation.journalProceedings of the 2011 SIGGRAPH Asia Conference (SA '11)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsEgan, Kevin; Durand, Frédo; Ramamoorthi, Ravien
dc.identifier.orcidhttps://orcid.org/0000-0001-9919-069X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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