Title: Scalable Spherical Harmonics Hierarchies
Authors: Metzgar, Jonathan B.
Sudhanshu K., Semwal
Citation: WSCG 2020: full papers proceedings: 28th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 116-125.
Issue Date: 2020
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2020/2020-CSRN-3001.pdf
ISBN: 978-80-86943-35-0
ISSN: 2464–4617 (print)
2464–4625 (CD-ROM)
Keywords: sférické harmonické;anizotropní bodová světla;fyzicky založené vykreslování;trasování cesty;místní dynamické mapy
Keywords in different language: spherical harmonics;anisotropic point lights;physically based rendering;path tracing;local dynamic radiance maps
Abstract in different language: Scalable Spherical Harmonics Hierarchies (SSPHH) is a real-time rendering solution to the global illumination problem. Our novel method is a system of components that enables the computation of light probes and the conversion to spherical harmonics coefficients, which are used as anisotropic time-varying light sources we call Spherical Harmonics Lights (SPHLs). The SPHLs encode irradiance information that can be used for imagebased lighting. Our approach focuses on reconstructing scene lighting using diffuse illumination but is flexible to allow specular details. Furthermore, we consider the light transport from neighboring SPHLs by computing a transfer coefficient that estimates how much light from one probe is visible at another. SPHLs can be used for physically-based lighting using rendering methods similar to point lights and shadow maps. We created a reproducible testing methodology to compare our images with those of a commercial path tracer by automatically generating the appropriate scene information which gets used with absolute error metrics to determine remaining image defects. Our SSPHH method utilizes a scalable architecture to distribute the rendering of light probes between client and worker nodes using the ZeroMQ Majordomo protocol.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2020: Full Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/38458

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