Paper Info
Title
Frequency based kernel estimation for progressive photon mapping
Abstract
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 accelerate convergence. The key is to add frequency information to a small proportion of photons: frequency photons. In addition to contributing to the density estimation, they will provide frequency information.
Year
DOI
Venue
2011
10.1145/2073304.2073357
SIGGRAPH Asia 2011 Posters
Keywords
DocType
Citations 
progressive photon mapping,frequency analysis,local radiance frequency,frequency photon,frequency information,density estimation,small proportion,kernel estimation,light transport,density estimation kernel,photon mapping
Conference
4
PageRank 
References 
Authors
0.41
2
2
Name
Order
Citations
PageRank
Laurent Belcour1729.33
Cyril Soler252831.97