ManyLoDs: Parallel Many-View Level-of-Detail Selection for Real-Time Global Illumination

Level‐of‐Detail structures are a key component for scalable rendering. Built from raw 3D data, these structures are often defined as Bounding Volume Hierarchies, providing coarse‐to‐fine adaptive approximations that are well‐adapted for many‐view rasterization. Here, the total number of pixels in ea...

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Vydané v:Computer graphics forum Ročník 30; číslo 4; s. 1233 - 1240
Hlavní autori: Hollander, Matthias, Ritschel, Tobias, Eisemann, Elmar, Boubekeur, Tamy
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford, UK Blackwell Publishing Ltd 01.06.2011
Predmet:
Algorithms
Computer graphics
GPU
Hierarchies
I.3.1 [Computer Graphics]: Hardware Architecture-Parallel Processing
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Object hierarchies
I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Shading
Illumination
level-of-detail
many-view
multi-view
Real time
Reflection
Rendering
Soups
Studies
Three dimensional
ISSN:0167-7055, 1467-8659
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Shrnutí:Level‐of‐Detail structures are a key component for scalable rendering. Built from raw 3D data, these structures are often defined as Bounding Volume Hierarchies, providing coarse‐to‐fine adaptive approximations that are well‐adapted for many‐view rasterization. Here, the total number of pixels in each view is usually low, while the cost of choosing the appropriate LoD for each view is high. This task represents a challenge for existing GPU algorithms. We propose ManyLoDs, a new GPU algorithm to efficiently compute many LoDs from a Bounding Volume Hierarchy in parallel by balancing the workload within and among LoDs. Our approach is not specific to a particular rendering technique, can be used on lazy representations such as polygon soups, and can handle dynamic scenes. We apply our method to various many‐view rasterization applications, including Instant Radiosity, Point‐Based Global Illumination, and reflection/refraction mapping. For each of these, we achieve real‐time performance in complex scenes at high resolutions.
Bibliografia:ArticleID:CGF1982
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2011.01982.x