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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 using a Gaussian approximation, and use it to drive 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.
Keywords :
frequency analysis
progressive photon mapping
Cited literature [2 references]
https://hal.inria.fr/inria-00633940
Contributor : Laurent Belcour <>
Submitted on : Thursday, October 20, 2011 - 4:51:21 PM
Last modification on : Thursday, March 26, 2020 - 8:49:21 PM
Document(s) archivé(s) le : Thursday, November 15, 2012 - 10:05:53 AM
Contributor : Laurent Belcour <>
Submitted on : Thursday, October 20, 2011 - 4:51:21 PM
Last modification on : Thursday, March 26, 2020 - 8:49:21 PM
Document(s) archivé(s) le : Thursday, November 15, 2012 - 10:05:53 AM