A Density Estimation Technique for Radiosity
dc.contributor.author | Lastra, Miguel | en_US |
dc.contributor.author | Urefía, Carlos | en_US |
dc.contributor.author | Revelles, Jorge | en_US |
dc.contributor.author | Montes, Rosana | en_US |
dc.contributor.editor | Xavier Pueyo | en_US |
dc.contributor.editor | Manuel Próspero dos Santos | en_US |
dc.contributor.editor | Luiz Velho | en_US |
dc.date.accessioned | 2023-01-24T14:15:54Z | |
dc.date.available | 2023-01-24T14:15:54Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Radiosity computation on scenes including objects with a complex geometry, or with a large number of faces and meshes with very different sizes, is very complex. We presenta new method (based on the Photon Maps method [7]) where density estimation on the tangent plane at each surface point is performed for irradiance computation by using photon paths (fine segments traveled by a ray) instead of photon impacts. Therefore we improve the results for scenes containing small objects which receive only afew impacts. Also, geometry is completely decoupledfrom radiosity computation. | en_US |
dc.description.sectionheaders | Lighting and Rendering | |
dc.description.seriesinformation | SIACG2002 - 1st lbero-American Symposium in Computer Graphics | |
dc.identifier.doi | 10.2312/pt.20021413 | |
dc.identifier.isbn | 978-3-03868-194-6 | |
dc.identifier.pages | 163-172 | |
dc.identifier.pages | 10 pages | |
dc.identifier.uri | https://doi.org/10.2312/pt.20021413 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/pt20021413 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Radiosity, Density Estimation, Monte Cario, Rendering | |
dc.subject | Radiosity | |
dc.subject | Density Estimation | |
dc.subject | Monte Cario | |
dc.subject | Rendering | |
dc.title | A Density Estimation Technique for Radiosity | en_US |
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