Title
Real-time stochastic rasterization on conventional GPU architectures
Abstract
This paper presents a hybrid algorithm for rendering approximate motion and defocus blur with precise stochastic visibility evaluation. It demonstrates---for the first time, with a full stochastic technique---real-time performance on conventional GPU architectures for complex scenes at 1920×1080 HD resolution. The algorithm operates on dynamic triangle meshes for which per-vertex velocity or corresponding vertices from the previous frame are available. It leverages multisample antialiasing (MSAA) and a tight space-time-aperture convex hull to efficiently evaluate visibility independently of shading. For triangles whose motion crosses the camera plane, we present a novel 2D bounding box algorithm that we conjecture is conservative. The sampling algorithm further reduces sample variance within primitives by integrating textures according to ray differentials in time and aperture.
Year
Venue
Keywords
2010
High Performance Graphics
shadows,noise,cryptographic hash
Field
DocType
ISBN
Aperture,Minimum bounding box algorithms,Computer vision,Visibility,Hybrid algorithm,Polygon mesh,Computer science,Parallel computing,Convex hull,Artificial intelligence,Rendering (computer graphics),OpenGL
Conference
978-1-4503-0896-0
Citations 
PageRank 
References 
27
1.13
10
Authors
4
Name
Order
Citations
PageRank
michael mcguire1271.13
Eric Enderton21107.43
Peter Shirley34732426.39
David Luebke42196140.84