Modeling Real-time Rendering

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dc.contributor.authorWong, Chee-Kien Gabriyelen_US
dc.contributor.authorWang, Jianliangen_US
dc.contributor.editorDieter Fellner and Charles Hansenen_US
dc.date.accessioned2015-07-19T17:09:29Z
dc.date.available2015-07-19T17:09:29Z
dc.date.issued2006en_US
dc.description.abstractThe real-time rendering process is well known to be extremely dynamic and complex. This paper presents a novel approach to modeling this process via the system identification methodology. Given the process s dynamic nature arising from the possible myriad variations of render states, polygon streams and the non-linearities involved, we describe a modeling approach using neural networks with supervised training from application-generated data. By comparing the outputs of the neural network model s representation of the rendering process with actual empirical data, we discuss the accuracy of our approach in relation to the practical issues of integrating this study to real-world applications.en_US
dc.description.sectionheadersSession 2 b: Renderingen_US
dc.description.seriesinformationEG Short Papersen_US
dc.identifier.doi10.2312/egs.20061035en_US
dc.identifier.pages89-93en_US
dc.identifier.urihttps://doi.org/10.2312/egs.20061035en_US
dc.publisherThe Eurographics Associationen_US
dc.titleModeling Real-time Renderingen_US
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