Hierarchical Reconstruction of BRDFs using Locally Supported Functions
dc.contributor.author | Noe, N. | en_US |
dc.contributor.author | Peroche, B. | en_US |
dc.date.accessioned | 2015-02-16T07:04:45Z | |
dc.date.available | 2015-02-16T07:04:45Z | |
dc.date.issued | 2000 | en_US |
dc.description.abstract | BRDFs are the backbone of realistic rendering algorithms. Analytical models are sometimes ineffective since they frequently cannot represent very particular material characteristics (retro-reflection, anisotropy, off-specularity, .). Consequently one might want to use measured BRDF data directly; this leads to solving the problem of BRDF reconstruction. In this paper, we propose a new solution which uses locally supported functions that lead to a hierarchical approach able to take irregular distributions of sampled data into account. This method is not computationally expensive and guarantees a physically valid reconstruction. We also discuss the quality of the reconstruction, introducing some new error parameters. | en_US |
dc.description.number | 2 | en_US |
dc.description.seriesinformation | Computer Graphics Forum | en_US |
dc.description.volume | 19 | en_US |
dc.identifier.doi | 10.1111/1467-8659.00453 | en_US |
dc.identifier.issn | 1467-8659 | en_US |
dc.identifier.pages | 173-184 | en_US |
dc.identifier.uri | https://doi.org/10.1111/1467-8659.00453 | en_US |
dc.publisher | Blackwell Publishers Ltd and the Eurographics Association | en_US |
dc.title | Hierarchical Reconstruction of BRDFs using Locally Supported Functions | en_US |