Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9551
Title: Photon mapping in image-based visual comfort assessments with BSDF models of high resolution
Authors: Grobe, Lars Oliver
Keywords: Photon mapping
BSDF
Radiance
Complex fenestration
Visual comfort
Daylight simulation
Issue Date: 2019
Publisher: Taylor and Francis Ltd.
Abstract: Data-driven models replicate the irregular Bidirectional Scattering Distribution Functions (BSDFs) of optically Complex Fenestration Systems in daylight simulation. RADIANCE employs the tensor tree to store the BSDF at high directional resolution. Its application in backward ray-tracing is however challenging, since the density of stochastic samples must match the model resolution. BSDF proxy and peak extraction address this problem, but are limited to cases when either the fenestration geometry, or the shape and direction of the transmission peak are known. Photon Mapping is proposed to efficiently sample arbitrary BSDFs from the known sun direction. The existing implementation in RADIANCE is extended to account for light sources and their reflections in the field of view, that are of particular importance for visual comfort assessments. The method achieves a high degree of accordance with ray-tracing, and reduces simulation times by approximate to 95% with data-driven models of high resolution.
URI: https://doi.org/10.1080/19401493.2019.1653994
https://hdl.handle.net/11147/9551
ISSN: 1940-1493
1940-1507
Appears in Collections:Architecture / Mimarlık
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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