2010
DOI: 10.1007/s00371-010-0497-z
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Volumetric ambient occlusion for volumetric models

Abstract: This paper presents new algorithms to compute ambient occlusion for volumetric data. Ambient occlusion is used in video-games and film animation to mimic the indirect lighting of global illumination. We extend a novel interpretation of ambient occlusion to volumetric models, that measures how big portion of the tangent sphere of a surface belongs to the set of occluded points, and propose statistically robust estimates for the ambient occlusion value. The data needed by this estimate can be obtained by separab… Show more

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Cited by 8 publications
(3 citation statements)
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“…The technique aims at physical representation of diffuse illumination. Ambient occlusion, which is a simplified version of the obscurances, provides more control of the appearance and has been widely used in recent years (e.g., [26][27][28]). Diffuse illumination has also been considered in cartography and GIS.…”
Section: Relief Shadingmentioning
confidence: 99%
“…The technique aims at physical representation of diffuse illumination. Ambient occlusion, which is a simplified version of the obscurances, provides more control of the appearance and has been widely used in recent years (e.g., [26][27][28]). Diffuse illumination has also been considered in cartography and GIS.…”
Section: Relief Shadingmentioning
confidence: 99%
“…While some approaches simplify AO to count the number of blockers, horizon‐based AO [BS08], finds the horizon line, that allows to compute a more accurate occlusion. Volumetric approaches use a slightly different definition of AO, where occlusion is the ratio of blocked and unblocked volume in a sphere around a sample [LS10, PMP10, SKUT*10, RSKU*10]. Doing so achieves a more stable result which is less prone to several screen‐space artefacts.…”
Section: Phenomenamentioning
confidence: 99%
“…Due to their simplicity and speed, they are still widely used in practice today, despite having undergone many upgrades. However, their simplicity is also the reason why they are mostly inadequate for more advanced visualizations, as they do not enable a good perception of the depths and shapes of individual structures in the data due to the lack of global illumination or its approximations such as volumetric ambient occlusion [41].…”
Section: Related Workmentioning
confidence: 99%