Title:
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LOD visibility culling and occluder synthesis
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Author:
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Andújar Gran, Carlos Antonio; Saona Vázquez, Carlos Luis; Navazo Álvaro, Isabel
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
Abstract:
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Level-of-detail occlusion culling is a novel approach to the
management of occluders that can be easily integrated into most
current visibility culling algorithms. The main contribution of this
paper is an algorithm that automatically generates sets of densely
overlapping boxes with enhanced occlusion properties from non-convex
subsets. We call this method occluder synthesis because it is not
sensible to the way objects are tesellated but to the space enclosed
by them. The extension of this technique by allowing a bounded amount
of image error is also discussed. We show that visibility computations
can be based on a multiresolution model which provides several
representations of these occluders with varying visibility
accuracy. Our tests show that occlusion performance in tesselated
scenes is improved severely even if no image-error is allowed. |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Infografia -Level-of-detail occlusion culling -Occluders -Visibility culling algorithms -LOD |
Rights:
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Document type:
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Article - Published version Report |
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