A Density Estimation Technique for Radiosity
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Date
2022Author
Lastra, Miguel
Urefía, Carlos
Revelles, Jorge
Montes, Rosana
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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.
BibTeX
@inproceedings {10.2312:pt.20021413,
booktitle = {SIACG2002 - 1st lbero-American Symposium in Computer Graphics},
editor = {Xavier Pueyo and Manuel Próspero dos Santos and Luiz Velho},
title = {{A Density Estimation Technique for Radiosity}},
author = {Lastra, Miguel and Urefía, Carlos and Revelles, Jorge and Montes, Rosana},
year = {2022},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-194-6},
DOI = {10.2312/pt.20021413}
}
booktitle = {SIACG2002 - 1st lbero-American Symposium in Computer Graphics},
editor = {Xavier Pueyo and Manuel Próspero dos Santos and Luiz Velho},
title = {{A Density Estimation Technique for Radiosity}},
author = {Lastra, Miguel and Urefía, Carlos and Revelles, Jorge and Montes, Rosana},
year = {2022},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-194-6},
DOI = {10.2312/pt.20021413}
}