Frequency-Based Kernel Estimation for Progressive Photon Mapping

Laurent Belcour 1 Cyril Soler 1
1 ARTIS - Acquisition, representation and transformations for image synthesis
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
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.
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Laurent Belcour, Cyril Soler. Frequency-Based Kernel Estimation for Progressive Photon Mapping. ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, ACM SIGGRAPH, Dec 2011, Hong Kong, China. pp.Article No. 47, ⟨10.1145/2073304.2073357⟩. ⟨inria-00633940⟩



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