Spherical Visibility Sampling
Spherical Visibility Sampling
复制标题
球面可见度采样
DOI:
10.1111/cgf.12150
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发表时间:
2013
影响因子:
2.5
通讯作者:
Friedhelm Meyer auf der Heide
中科院分区:
文献类型:
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作者:
Benjamin Eikel;Claudius Jähn;Matthias Fischer;Friedhelm Meyer auf der Heide
Many 3D scenes (e.g. generated from CAD data) are composed of a multitude of objects that are nested in each other. A showroom, for instance, may contain multiple cars and every car has a gearbox with many gearwheels located inside. Because the objects occlude each other, only few are visible from outside. We present a new technique, Spherical Visibility Sampling (SVS), for real‐time 3D rendering of such – possibly highly complex – scenes. SVS exploits the occlusion and annotates hierarchically structured objects with directional visibility information in a preprocessing step. For different directions, the directional visibility encodes which objects of a scene's region are visible from the outside of the regions' enclosing bounding sphere. Since there is no need to store a separate view space subdivision as in most techniques based on preprocessed visibility, a small memory footprint is achieved. Using the directional visibility information for an interactive walkthrough, the potentially visible objects can be retrieved very efficiently without the need for further visibility tests. Our evaluation shows that using SVS allows to preprocess complex 3D scenes fast and to visualize them in real time (e.g. a Power Plant model and five animated Boeing 777 models with billions of triangles). Because SVS does not require hardware support for occlusion culling during rendering, it is even applicable for rendering large scenes on mobile devices.
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DOI:
--
发表时间:
2007
期刊:
International Genetic Improvement Workshop
影响因子:
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作者:
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DOI:
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2004
期刊:
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DOI:
--
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期刊:
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DOI:
--
发表时间:
2008
期刊:
IEEE International Conference on Multimedia and Expo
影响因子:
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作者:
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通讯作者:
Shuangjiu Xiao
DOI:
--
发表时间:
2008
期刊:
影响因子:
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作者:
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通讯作者:
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