Using Subdivision on Hierarchical Data to Reconstruct Radiosity Distribution

dc.contributor.authorKobbelt, Leifen_US
dc.contributor.authorStamminger, Marcen_US
dc.contributor.authorSeidel, Hans-Peteren_US
dc.date.accessioned2015-02-15T18:05:29Z
dc.date.available2015-02-15T18:05:29Z
dc.date.issued1997en_US
dc.description.abstractComputing global illumination by finite element techniques usually generates a piecewise constant approximation of the radiosity distribution on surfaces. Directly displaying such scenes generates artefacts due to discretization errors. We propose to remedy this drawback by considering the piecewise constant output to be samples of a (piecewise) smooth function in object space and reconstruct this function by applying a binary subdivision scheme. We design custom taylored subdivision schemes with quadratic precision for the efficient refinement of cell- or pixel-type data. The technique naturally allows to reconstruct functions from non-uniform samples which result from adaptive binary splitting of the original domain (quadtree). This type of output is produced, e.g., by hierarchical radiosity algorithms. The result of the subdivision process can be mapped as a texture on the respective surface patch which allows to exploit graphics hardware for considerably accelerating the display.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume16en_US
dc.identifier.doi10.1111/1467-8659.00172en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pagesC347-C355en_US
dc.identifier.urihttps://doi.org/10.1111/1467-8659.00172en_US
dc.publisherBlackwell Publishers Ltd and the Eurographics Associationen_US
dc.titleUsing Subdivision on Hierarchical Data to Reconstruct Radiosity Distributionen_US
Files
Collections