Progressive photon mapping
نویسندگان
چکیده
منابع مشابه
Progressive photon mapping for daylight redirecting components
Daylight redirecting components (DRCs) are characterised by complex transmissive and reflective behaviour that is difficult to predict accurately largely due to their highly directional scattering, and the caustics this produces. This paper examines the application of progressive photon mapping as a state of the art forward raytracing technique to efficiently simulate the behaviour of such DRCs...
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Stochastic Progressive Photon Mapping (SPPM) is a method to simulate consistent global illumination. It is especially useful for complicated light paths like caustics seen through a glass surface. Up to now, SPPM can only be applied to a static scene and noise-free images require hours to compute. Our approach is to extend this method to dynamic scenes (DSPPM) for an efficient simulation of ani...
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The simulation of light transport often involves specular and transmissive surfaces, which are modeled by functions that are not square integrable. However, in many practical cases unbiased Monte Carlo methods are not able to handle such functions efficiently and consistent Monte Carlo methods are applied. Based on quasi-Monte Carlo integration, a deterministic alternative to the stochastic app...
متن کاملDistributed Out-of-Core Stochastic Progressive Photon Mapping
At present, stochastic progressive photon mapping (SPPM) is one of the most comprehensive methods for a consistent global illumination computation. Even though the number of photons is unlimited due to their progressive nature, the scene size is still bound by the available main memory. In this paper, we present the first consistent out-of-core SPPM algorithm. In order to cope with large scenes...
متن کاملFrequency based Kernel Estimation for Progressive Photon Mapping Supplementary Material
We present an extension to Hachisuka et al.’s Progressive Photon Mapping (or PPM) algorithm [Hachisuka et al. 2008] in which we estimate the radius of the density estimation kernels using frequency analysis of light transport [Durand et al. 2005]. We predict the local radiance frequency at the surface of objects, and use it to optimize the size of the density estimation kernels, in order to acc...
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ژورنال
عنوان ژورنال: ACM Transactions on Graphics
سال: 2008
ISSN: 0730-0301,1557-7368
DOI: 10.1145/1409060.1409083