Separable soft shadow mapping
Impacto
Scholar |
Otros documentos de la autoría: Buades, José María; Gumbau Portalés, Jesús; Chover, Miguel
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
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http://dx.doi.org/10.1007/s00371-015-1062-6 |
Metadatos
Título
Separable soft shadow mappingFecha de publicación
2015-02Editor
SpringerCita bibliográfica
BUADES, Jose María; GUMBAU, Jesús; CHOVER, Miguel. Separable soft shadow mapping. The Visual Computer, 2015, p. 167-178Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://link.springer.com/article/10.1007/s00371-015-1062-6Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
We propose an efficient technique for rendering visually plausible real-time soft shadows in screen space. First, we propose a novel blocker estimation technique based on a separable filter. Second, our technique ... [+]
We propose an efficient technique for rendering visually plausible real-time soft shadows in screen space. First, we propose a novel blocker estimation technique based on a separable filter. Second, our technique performs a separable Gaussian blur in screen space over the hard shadows produced by the standard shadow mapping technique. Although blurring the hard shadows with a separable filter was done before in the literature using bilateral filtering, we use an alternative approach that minimizes artifacts. Since separated calculation is not possible for all cases, we provide data reutilization criteria based on two user-defined error thresholds called α and β. As a consequence of using separable approaches for both stages of the light visibility estimation, our technique is able to improve rendering performance, especially when high-resolution shadow maps and filtering kernels are used. [-]
Publicado en
The Visual Computer February 2016, Volume 32, Issue 2Derechos de acceso
© Springer International Publishing AG, Part of Springer Science+Business Media
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