Fitted BVH for Fast Raytracing of Metaballs

Raytracing metaballs is a problem that has numerous applications in the rendering of dynamic soft objects such as fluids. However, current techniques are either limited in the visual effects that they can render or their performance drops as the number of metaballs and their density increase. We pre...

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Vydáno v:Computer graphics forum Ročník 29; číslo 2; s. 281 - 288
Hlavní autoři: Gourmel, Olivier, Pajot, Anthony, Paulin, Mathias, Barthe, Loïc, Poulin, Pierre
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford, UK Blackwell Publishing Ltd 01.05.2010
Wiley
Témata:
Acceleration
and object representations
C (programming language)
Computer graphics
Computer Science
Computer simulation
Density
Fluid flow
Fluid mechanics
Graphics
Graphics boards
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Curve
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Curve, surface, solid, and object representations
I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Raytracing
I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Visible line/surface algorithms
Image processing systems
Reflection
Rendering
solid
Special effects
surface
Systems development
Visual effects
ISSN:0167-7055, 1467-8659
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Popis
Shrnutí:Raytracing metaballs is a problem that has numerous applications in the rendering of dynamic soft objects such as fluids. However, current techniques are either limited in the visual effects that they can render or their performance drops as the number of metaballs and their density increase. We present a new acceleration structure based on BVH and kd‐tree for efficient raytracing of a large number of metaballs. This structure is built from an adapted SAH using a fast greedy algorithm and allows the visualization of several hundreds of thousands metaballs at interactive‐to‐real‐time framerates. Our method can handle arbitrary rays to simulate any complex secondary effects such as reflections or soft shadows, and is robust with respect to the density of metaballs. We achieve this performance thanks to a balanced CPU‐GPU (using CUDA) implementation of the animation, structure creation, and rendering.
Bibliografie:ArticleID:CGF1597
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ark:/67375/WNG-FC9VC2D0-H
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2009.01597.x