Accurate and Consistent Reconstruction of Illumination Functions Using Structured Sampling

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dc.contributor.authorDrettakis, Georgeen_US
dc.contributor.authorFiume, Eugeneen_US
dc.date.accessioned2014-10-21T07:25:38Z
dc.date.available2014-10-21T07:25:38Z
dc.date.issued1993en_US
dc.description.abstractThe study of common classes of diffuse emitters, such as planar convex polygons, reveals several interesting properties of the functions of illumination these emitters cast on receiver surfaces. Some properties, such as the position of the maximum and the curvature are of particular interest for sampling and reconstruction of illumination across receivers. A computationally efficient approach is presented that identifies these properties, and uses them to select samples of illurnination. In addition these properties are used to determine upper bounds on the error due to linear and quadratic interpolants. These bounds are then used to adaptively subdivide the non-uniform sampling grid, resulting in accurate reconstruction. Results show that the method reduces the error compared to uniform approaches, and produces more consistent animated sequences.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume12en_US
dc.identifier.doi10.1111/1467-8659.1230273en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages273-284en_US
dc.identifier.urihttps://doi.org/10.1111/1467-8659.1230273en_US
dc.publisherBlackwell Science Ltd and the Eurographics Associationen_US
dc.titleAccurate and Consistent Reconstruction of Illumination Functions Using Structured Samplingen_US
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