A Progressive Rendering Algorithm Using an Adaptive Perceptually Based Image Metric

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dc.contributor.authorFarrugia, Jean-Philippeen_US
dc.contributor.authorPeroche, Bernarden_US
dc.date.accessioned2015-02-19T09:54:45Z
dc.date.available2015-02-19T09:54:45Z
dc.date.issued2004en_US
dc.description.abstractIn this paper, we propose to solve the global illumination problem through a progressive rendering method relying on an adaptive sampling of the image space. The refinement of this sample scheme is driven by an image metric based on a powerful vision model. A Delaunay triangulation of the sampled points is followed by a classification of these triangles into three classes. By interpolating each triangle according to the class it belongs to, we can obtain a high quality image by computing only a fraction of all the pixels and thus saving computation time.Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Perceptual Rendering, Global illuminationen_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume23en_US
dc.identifier.doi10.1111/j.1467-8659.2004.00792.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages605-614en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2004.00792.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing, Incen_US
dc.titleA Progressive Rendering Algorithm Using an Adaptive Perceptually Based Image Metricen_US
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